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docs/guides/learning_paths/active_inference_agi_learning_path.md
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|
||||
---
|
||||
title: Active Inference in AGI and Superintelligence Learning Path
|
||||
type: learning_path
|
||||
status: stable
|
||||
created: 2024-03-15
|
||||
complexity: advanced
|
||||
processing_priority: 1
|
||||
tags:
|
||||
- active-inference
|
||||
- artificial-general-intelligence
|
||||
- superintelligence
|
||||
- cognitive-architectures
|
||||
semantic_relations:
|
||||
- type: specializes
|
||||
links: [[active_inference_learning_path]]
|
||||
- type: relates
|
||||
links:
|
||||
- [[agi_systems_learning_path]]
|
||||
- [[cognitive_architecture_learning_path]]
|
||||
- [[superintelligence_learning_path]]
|
||||
---
|
||||
|
||||
# Active Inference in AGI and Superintelligence Learning Path
|
||||
|
||||
## Overview
|
||||
|
||||
This specialized path focuses on applying Active Inference to develop and understand artificial general intelligence and superintelligent systems. It integrates cognitive architectures, recursive self-improvement, and safety considerations.
|
||||
|
||||
## Prerequisites
|
||||
|
||||
### 1. AGI Foundations (4 weeks)
|
||||
- Cognitive Architectures
|
||||
- Universal intelligence
|
||||
- Meta-learning
|
||||
- Recursive self-improvement
|
||||
- Consciousness theories
|
||||
|
||||
- Intelligence Theory
|
||||
- General intelligence
|
||||
- Intelligence explosion
|
||||
- Cognitive enhancement
|
||||
- Mind architectures
|
||||
|
||||
- Safety & Ethics
|
||||
- AI alignment
|
||||
- Value learning
|
||||
- Corrigibility
|
||||
- Robustness
|
||||
|
||||
- Systems Theory
|
||||
- Complex systems
|
||||
- Emergence
|
||||
- Self-organization
|
||||
- Information dynamics
|
||||
|
||||
### 2. Technical Skills (2 weeks)
|
||||
- Advanced Tools
|
||||
- Meta-programming
|
||||
- Formal verification
|
||||
- Distributed systems
|
||||
- Safety frameworks
|
||||
|
||||
## Core Learning Path
|
||||
|
||||
### 1. AGI Modeling (4 weeks)
|
||||
|
||||
#### Week 1-2: Universal Intelligence Framework
|
||||
```python
|
||||
class UniversalIntelligenceModel:
|
||||
def __init__(self,
|
||||
cognitive_dims: List[int],
|
||||
meta_learning_rate: float):
|
||||
"""Initialize universal intelligence model."""
|
||||
self.cognitive_architecture = RecursiveCognitiveArchitecture(cognitive_dims)
|
||||
self.meta_learner = MetaLearningSystem(meta_learning_rate)
|
||||
self.safety_constraints = SafetyConstraints()
|
||||
|
||||
def recursive_improvement(self,
|
||||
current_state: torch.Tensor,
|
||||
safety_bounds: SafetyBounds) -> torch.Tensor:
|
||||
"""Perform safe recursive self-improvement."""
|
||||
improvement_plan = self.meta_learner.design_improvement(current_state)
|
||||
validated_plan = self.safety_constraints.validate(improvement_plan)
|
||||
return self.cognitive_architecture.implement(validated_plan)
|
||||
```
|
||||
|
||||
#### Week 3-4: Meta-Learning and Adaptation
|
||||
```python
|
||||
class MetaCognitiveController:
|
||||
def __init__(self,
|
||||
architecture_space: ArchitectureSpace,
|
||||
safety_verifier: SafetyVerifier):
|
||||
"""Initialize metacognitive controller."""
|
||||
self.architecture_search = ArchitectureSearch(architecture_space)
|
||||
self.safety_verifier = safety_verifier
|
||||
self.meta_objectives = MetaObjectives()
|
||||
|
||||
def evolve_architecture(self,
|
||||
performance_history: torch.Tensor,
|
||||
safety_requirements: SafetySpec) -> CognitiveArchitecture:
|
||||
"""Evolve cognitive architecture while maintaining safety."""
|
||||
candidate_architectures = self.architecture_search.generate_candidates()
|
||||
safe_architectures = self.safety_verifier.filter(candidate_architectures)
|
||||
return self.select_optimal_architecture(safe_architectures)
|
||||
```
|
||||
|
||||
### 2. AGI Development (6 weeks)
|
||||
|
||||
#### Week 1-2: Cognitive Integration
|
||||
- Multi-scale cognition
|
||||
- Cross-domain transfer
|
||||
- Meta-reasoning
|
||||
- Recursive improvement
|
||||
|
||||
#### Week 3-4: Safety Mechanisms
|
||||
- Value alignment
|
||||
- Robustness verification
|
||||
- Uncertainty handling
|
||||
- Fail-safe systems
|
||||
|
||||
#### Week 5-6: Superintelligence Capabilities
|
||||
- Recursive self-improvement
|
||||
- Strategic awareness
|
||||
- Long-term planning
|
||||
- Multi-agent coordination
|
||||
|
||||
### 3. Advanced Intelligence (4 weeks)
|
||||
|
||||
#### Week 1-2: Intelligence Amplification
|
||||
```python
|
||||
class IntelligenceAmplifier:
|
||||
def __init__(self,
|
||||
base_intelligence: Intelligence,
|
||||
safety_bounds: SafetyBounds):
|
||||
"""Initialize intelligence amplification system."""
|
||||
self.intelligence = base_intelligence
|
||||
self.safety_bounds = safety_bounds
|
||||
self.amplification_strategies = AmplificationStrategies()
|
||||
|
||||
def safe_amplification(self,
|
||||
current_level: torch.Tensor,
|
||||
target_level: torch.Tensor) -> Intelligence:
|
||||
"""Safely amplify intelligence within bounds."""
|
||||
trajectory = self.plan_amplification_trajectory(current_level, target_level)
|
||||
verified_steps = self.verify_safety(trajectory)
|
||||
return self.execute_amplification(verified_steps)
|
||||
```
|
||||
|
||||
#### Week 3-4: Superintelligent Systems
|
||||
- Cognitive architectures
|
||||
- Decision theories
|
||||
- Value learning
|
||||
- Strategic planning
|
||||
|
||||
### 4. Advanced Topics (4 weeks)
|
||||
|
||||
#### Week 1-2: Universal Intelligence
|
||||
```python
|
||||
class UniversalIntelligenceFramework:
|
||||
def __init__(self,
|
||||
cognitive_space: CognitiveSpace,
|
||||
safety_framework: SafetyFramework):
|
||||
"""Initialize universal intelligence framework."""
|
||||
self.cognitive_space = cognitive_space
|
||||
self.safety_framework = safety_framework
|
||||
self.universal_objectives = UniversalObjectives()
|
||||
|
||||
def develop_intelligence(self,
|
||||
initial_state: torch.Tensor,
|
||||
safety_constraints: List[Constraint]) -> Intelligence:
|
||||
"""Develop universal intelligence safely."""
|
||||
development_path = self.plan_development(initial_state)
|
||||
safe_path = self.safety_framework.verify_path(development_path)
|
||||
return self.execute_development(safe_path)
|
||||
```
|
||||
|
||||
#### Week 3-4: Future Intelligence
|
||||
- Intelligence explosion
|
||||
- Post-singularity cognition
|
||||
- Universal computation
|
||||
- Omega-level intelligence
|
||||
|
||||
## Projects
|
||||
|
||||
### AGI Projects
|
||||
1. **Cognitive Architecture**
|
||||
- Meta-learning systems
|
||||
- Safety frameworks
|
||||
- Value learning
|
||||
- Recursive improvement
|
||||
|
||||
2. **Safety Implementation**
|
||||
- Alignment mechanisms
|
||||
- Robustness testing
|
||||
- Uncertainty handling
|
||||
- Verification systems
|
||||
|
||||
### Advanced Projects
|
||||
1. **Superintelligence Development**
|
||||
- Intelligence amplification
|
||||
- Strategic planning
|
||||
- Safety guarantees
|
||||
- Value stability
|
||||
|
||||
2. **Universal Intelligence**
|
||||
- General problem-solving
|
||||
- Meta-cognitive systems
|
||||
- Cross-domain adaptation
|
||||
- Safe recursion
|
||||
|
||||
## Resources
|
||||
|
||||
### Academic Resources
|
||||
1. **Research Papers**
|
||||
- AGI Theory
|
||||
- Safety Research
|
||||
- Intelligence Theory
|
||||
- Cognitive Architectures
|
||||
|
||||
2. **Books**
|
||||
- Superintelligence
|
||||
- AGI Development
|
||||
- AI Safety
|
||||
- Cognitive Science
|
||||
|
||||
### Technical Resources
|
||||
1. **Software Tools**
|
||||
- AGI Frameworks
|
||||
- Safety Verification
|
||||
- Meta-learning Systems
|
||||
- Cognitive Architectures
|
||||
|
||||
2. **Development Resources**
|
||||
- Formal Methods
|
||||
- Safety Tools
|
||||
- Testing Frameworks
|
||||
- Verification Systems
|
||||
|
||||
## Next Steps
|
||||
|
||||
### Advanced Topics
|
||||
1. [[superintelligence_learning_path|Superintelligence]]
|
||||
2. [[universal_intelligence_learning_path|Universal Intelligence]]
|
||||
3. [[cognitive_safety_learning_path|Cognitive Safety]]
|
||||
|
||||
### Research Directions
|
||||
1. [[research_guides/agi_development|AGI Development]]
|
||||
2. [[research_guides/ai_safety|AI Safety Research]]
|
||||
3. [[research_guides/superintelligence|Superintelligence Research]]
|
||||
@ -0,0 +1,250 @@
|
||||
---
|
||||
title: Active Inference in Biological Intelligence Learning Path
|
||||
type: learning_path
|
||||
status: stable
|
||||
created: 2024-03-15
|
||||
complexity: advanced
|
||||
processing_priority: 1
|
||||
tags:
|
||||
- active-inference
|
||||
- biological-intelligence
|
||||
- evolutionary-systems
|
||||
- natural-computation
|
||||
semantic_relations:
|
||||
- type: specializes
|
||||
links: [[active_inference_learning_path]]
|
||||
- type: relates
|
||||
links:
|
||||
- [[biological_systems_learning_path]]
|
||||
- [[evolutionary_computation_learning_path]]
|
||||
- [[natural_intelligence_learning_path]]
|
||||
---
|
||||
|
||||
# Active Inference in Biological Intelligence Learning Path
|
||||
|
||||
## Overview
|
||||
|
||||
This specialized path focuses on applying Active Inference to understand and model biological intelligence across scales, from cellular to organismal levels. It integrates evolutionary principles, biological computation, and natural intelligence.
|
||||
|
||||
## Prerequisites
|
||||
|
||||
### 1. Biological Foundations (4 weeks)
|
||||
- Biological Systems
|
||||
- Cellular biology
|
||||
- Neural systems
|
||||
- Organismal behavior
|
||||
- Evolutionary processes
|
||||
|
||||
- Natural Computation
|
||||
- Biological information processing
|
||||
- Natural algorithms
|
||||
- Collective computation
|
||||
- Adaptive systems
|
||||
|
||||
- Evolutionary Theory
|
||||
- Natural selection
|
||||
- Adaptation mechanisms
|
||||
- Fitness landscapes
|
||||
- Population dynamics
|
||||
|
||||
- Systems Biology
|
||||
- Molecular networks
|
||||
- Cellular signaling
|
||||
- Metabolic pathways
|
||||
- Regulatory systems
|
||||
|
||||
### 2. Technical Skills (2 weeks)
|
||||
- Biological Tools
|
||||
- Bioinformatics
|
||||
- Systems modeling
|
||||
- Network analysis
|
||||
- Evolutionary simulation
|
||||
|
||||
## Core Learning Path
|
||||
|
||||
### 1. Biological Intelligence Modeling (4 weeks)
|
||||
|
||||
#### Week 1-2: Natural State Inference
|
||||
```python
|
||||
class BiologicalStateEstimator:
|
||||
def __init__(self,
|
||||
system_levels: List[str],
|
||||
adaptation_rate: float):
|
||||
"""Initialize biological state estimator."""
|
||||
self.system_hierarchy = SystemHierarchy(system_levels)
|
||||
self.adaptation_mechanism = AdaptationMechanism(adaptation_rate)
|
||||
self.homeostasis_monitor = HomeostasisMonitor()
|
||||
|
||||
def estimate_state(self,
|
||||
environmental_signals: torch.Tensor,
|
||||
internal_state: torch.Tensor) -> BiologicalState:
|
||||
"""Estimate biological system state."""
|
||||
current_state = self.system_hierarchy.integrate_signals(
|
||||
environmental_signals, internal_state
|
||||
)
|
||||
adapted_state = self.adaptation_mechanism.update(current_state)
|
||||
return self.homeostasis_monitor.validate_state(adapted_state)
|
||||
```
|
||||
|
||||
#### Week 3-4: Natural Decision Making
|
||||
```python
|
||||
class BiologicalDecisionMaker:
|
||||
def __init__(self,
|
||||
behavior_space: BehaviorSpace,
|
||||
fitness_function: FitnessFunction):
|
||||
"""Initialize biological decision maker."""
|
||||
self.behavior_repertoire = BehaviorRepertoire(behavior_space)
|
||||
self.fitness_evaluator = fitness_function
|
||||
self.adaptation_policy = AdaptationPolicy()
|
||||
|
||||
def select_behavior(self,
|
||||
environmental_state: torch.Tensor,
|
||||
internal_needs: torch.Tensor) -> Behavior:
|
||||
"""Select adaptive behavior."""
|
||||
options = self.behavior_repertoire.generate_options()
|
||||
fitness_scores = self.evaluate_fitness(options, environmental_state)
|
||||
return self.adaptation_policy.select_action(options, fitness_scores)
|
||||
```
|
||||
|
||||
### 2. Natural Applications (6 weeks)
|
||||
|
||||
#### Week 1-2: Cellular Intelligence
|
||||
- Molecular computation
|
||||
- Cellular decision-making
|
||||
- Metabolic adaptation
|
||||
- Signal processing
|
||||
|
||||
#### Week 3-4: Neural Intelligence
|
||||
- Neural computation
|
||||
- Synaptic plasticity
|
||||
- Network adaptation
|
||||
- Information integration
|
||||
|
||||
#### Week 5-6: Organismal Intelligence
|
||||
- Behavioral adaptation
|
||||
- Learning mechanisms
|
||||
- Memory formation
|
||||
- Social behavior
|
||||
|
||||
### 3. Evolutionary Intelligence (4 weeks)
|
||||
|
||||
#### Week 1-2: Evolutionary Learning
|
||||
```python
|
||||
class EvolutionaryLearner:
|
||||
def __init__(self,
|
||||
population_size: int,
|
||||
mutation_rate: float):
|
||||
"""Initialize evolutionary learning system."""
|
||||
self.population = Population(population_size)
|
||||
self.selection = NaturalSelection()
|
||||
self.variation = VariationOperator(mutation_rate)
|
||||
|
||||
def evolve_generation(self,
|
||||
environment: Environment) -> Population:
|
||||
"""Evolve population through one generation."""
|
||||
fitness = self.evaluate_fitness(self.population, environment)
|
||||
selected = self.selection.select(self.population, fitness)
|
||||
return self.variation.create_offspring(selected)
|
||||
```
|
||||
|
||||
#### Week 3-4: Adaptive Systems
|
||||
- Population dynamics
|
||||
- Fitness landscapes
|
||||
- Evolutionary strategies
|
||||
- Collective adaptation
|
||||
|
||||
### 4. Advanced Topics (4 weeks)
|
||||
|
||||
#### Week 1-2: Multi-scale Integration
|
||||
```python
|
||||
class BiologicalHierarchy:
|
||||
def __init__(self,
|
||||
scale_levels: List[ScaleLevel],
|
||||
integration_params: IntegrationParams):
|
||||
"""Initialize biological hierarchy."""
|
||||
self.levels = scale_levels
|
||||
self.integrator = ScaleIntegrator(integration_params)
|
||||
self.coordinator = SystemCoordinator()
|
||||
|
||||
def process_information(self,
|
||||
inputs: Dict[str, torch.Tensor]) -> SystemState:
|
||||
"""Process information across scales."""
|
||||
level_states = {level: level.process(inputs[level.name])
|
||||
for level in self.levels}
|
||||
integrated_state = self.integrator.combine_states(level_states)
|
||||
return self.coordinator.coordinate_responses(integrated_state)
|
||||
```
|
||||
|
||||
#### Week 3-4: Natural Computation
|
||||
- Biological algorithms
|
||||
- Natural optimization
|
||||
- Collective intelligence
|
||||
- Emergent computation
|
||||
|
||||
## Projects
|
||||
|
||||
### Biological Projects
|
||||
1. **Cellular Systems**
|
||||
- Molecular networks
|
||||
- Cellular decisions
|
||||
- Metabolic adaptation
|
||||
- Signal integration
|
||||
|
||||
2. **Neural Systems**
|
||||
- Neural plasticity
|
||||
- Network adaptation
|
||||
- Information processing
|
||||
- Learning mechanisms
|
||||
|
||||
### Advanced Projects
|
||||
1. **Evolutionary Systems**
|
||||
- Population dynamics
|
||||
- Adaptive strategies
|
||||
- Fitness landscapes
|
||||
- Collective behavior
|
||||
|
||||
2. **Natural Intelligence**
|
||||
- Biological computation
|
||||
- Adaptive systems
|
||||
- Multi-scale integration
|
||||
- Emergent behavior
|
||||
|
||||
## Resources
|
||||
|
||||
### Academic Resources
|
||||
1. **Research Papers**
|
||||
- Biological Intelligence
|
||||
- Natural Computation
|
||||
- Evolutionary Systems
|
||||
- Systems Biology
|
||||
|
||||
2. **Books**
|
||||
- Biological Systems
|
||||
- Natural Intelligence
|
||||
- Evolutionary Theory
|
||||
- Complex Adaptation
|
||||
|
||||
### Technical Resources
|
||||
1. **Software Tools**
|
||||
- Bioinformatics Tools
|
||||
- Systems Modeling
|
||||
- Network Analysis
|
||||
- Evolutionary Simulation
|
||||
|
||||
2. **Biological Resources**
|
||||
- Molecular Databases
|
||||
- Neural Data
|
||||
- Behavioral Records
|
||||
- Evolutionary Models
|
||||
|
||||
## Next Steps
|
||||
|
||||
### Advanced Topics
|
||||
1. [[biological_systems_learning_path|Biological Systems]]
|
||||
2. [[evolutionary_computation_learning_path|Evolutionary Computation]]
|
||||
3. [[natural_intelligence_learning_path|Natural Intelligence]]
|
||||
|
||||
### Research Directions
|
||||
1. [[research_guides/biological_intelligence|Biological Intelligence Research]]
|
||||
2. [[research_guides/natural_computation|Natural Computation Research]]
|
||||
3. [[research_guides/evolutionary_systems|Evolutionary Systems Research]]
|
||||
@ -0,0 +1,247 @@
|
||||
---
|
||||
title: Active Inference in Economic Systems Learning Path
|
||||
type: learning_path
|
||||
status: stable
|
||||
created: 2024-03-15
|
||||
complexity: advanced
|
||||
processing_priority: 1
|
||||
tags:
|
||||
- active-inference
|
||||
- economics
|
||||
- market-dynamics
|
||||
- decision-theory
|
||||
semantic_relations:
|
||||
- type: specializes
|
||||
links: [[active_inference_learning_path]]
|
||||
- type: relates
|
||||
links:
|
||||
- [[economic_systems_learning_path]]
|
||||
- [[market_dynamics_learning_path]]
|
||||
- [[decision_theory_learning_path]]
|
||||
---
|
||||
|
||||
# Active Inference in Economic Systems Learning Path
|
||||
|
||||
## Overview
|
||||
|
||||
This specialized path focuses on applying Active Inference to understand economic systems, market dynamics, and decision-making under uncertainty. It integrates economic theory with complex systems modeling.
|
||||
|
||||
## Prerequisites
|
||||
|
||||
### 1. Economic Foundations (4 weeks)
|
||||
- Economic Theory
|
||||
- Microeconomics
|
||||
- Macroeconomics
|
||||
- Game theory
|
||||
- Market dynamics
|
||||
|
||||
- Decision Theory
|
||||
- Utility theory
|
||||
- Risk assessment
|
||||
- Strategic planning
|
||||
- Behavioral economics
|
||||
|
||||
- Research Methods
|
||||
- Econometrics
|
||||
- Time series analysis
|
||||
- Agent-based modeling
|
||||
- Market simulation
|
||||
|
||||
- Systems Theory
|
||||
- Complex systems
|
||||
- Network economics
|
||||
- Dynamical systems
|
||||
- Information theory
|
||||
|
||||
### 2. Technical Skills (2 weeks)
|
||||
- Analysis Tools
|
||||
- Python/R
|
||||
- Economic modeling
|
||||
- Statistical methods
|
||||
- Financial analysis
|
||||
|
||||
## Core Learning Path
|
||||
|
||||
### 1. Economic Modeling (4 weeks)
|
||||
|
||||
#### Week 1-2: Market State Inference
|
||||
```python
|
||||
class MarketStateEstimator:
|
||||
def __init__(self,
|
||||
n_agents: int,
|
||||
market_dim: int):
|
||||
"""Initialize market state estimator."""
|
||||
self.agents = [EconomicAgent() for _ in range(n_agents)]
|
||||
self.market_state = torch.zeros(market_dim)
|
||||
self.trading_network = self._build_network()
|
||||
|
||||
def estimate_state(self,
|
||||
market_data: torch.Tensor) -> torch.Tensor:
|
||||
"""Estimate market state from data."""
|
||||
beliefs = self._update_agent_beliefs(market_data)
|
||||
market_state = self._aggregate_beliefs(beliefs)
|
||||
return market_state
|
||||
```
|
||||
|
||||
#### Week 3-4: Economic Decision Making
|
||||
```python
|
||||
class EconomicController:
|
||||
def __init__(self,
|
||||
action_space: int,
|
||||
utility_model: UtilityFunction):
|
||||
"""Initialize economic controller."""
|
||||
self.policy = EconomicPolicy(action_space)
|
||||
self.utility = utility_model
|
||||
self.risk_model = RiskAssessment()
|
||||
|
||||
def select_action(self,
|
||||
market_state: torch.Tensor,
|
||||
uncertainty: torch.Tensor) -> torch.Tensor:
|
||||
"""Select economic action under uncertainty."""
|
||||
expected_utility = self._compute_expected_utility(market_state)
|
||||
risk_adjusted_policy = self._adjust_for_risk(expected_utility, uncertainty)
|
||||
return self.policy.sample(risk_adjusted_policy)
|
||||
```
|
||||
|
||||
### 2. Market Applications (6 weeks)
|
||||
|
||||
#### Week 1-2: Market Dynamics
|
||||
- Price Formation
|
||||
- Supply and Demand
|
||||
- Market Equilibrium
|
||||
- Trading Strategies
|
||||
|
||||
#### Week 3-4: Strategic Behavior
|
||||
- Game Theory Applications
|
||||
- Strategic Planning
|
||||
- Competition Dynamics
|
||||
- Cooperation Mechanisms
|
||||
|
||||
#### Week 5-6: Financial Systems
|
||||
- Asset Pricing
|
||||
- Risk Management
|
||||
- Portfolio Optimization
|
||||
- Market Efficiency
|
||||
|
||||
### 3. Economic Policy (4 weeks)
|
||||
|
||||
#### Week 1-2: Policy Design
|
||||
```python
|
||||
class PolicyDesigner:
|
||||
def __init__(self,
|
||||
economy_model: EconomyModel,
|
||||
policy_objectives: List[Objective]):
|
||||
"""Initialize policy designer."""
|
||||
self.model = economy_model
|
||||
self.objectives = policy_objectives
|
||||
self.constraints = PolicyConstraints()
|
||||
|
||||
def design_policy(self,
|
||||
current_state: torch.Tensor,
|
||||
target_state: torch.Tensor) -> Policy:
|
||||
"""Design optimal policy intervention."""
|
||||
policy_space = self._generate_policy_space()
|
||||
evaluated_policies = self._evaluate_policies(policy_space)
|
||||
return self._select_optimal_policy(evaluated_policies)
|
||||
```
|
||||
|
||||
#### Week 3-4: Impact Analysis
|
||||
- Policy Evaluation
|
||||
- Welfare Analysis
|
||||
- Distributional Effects
|
||||
- Systemic Risk
|
||||
|
||||
### 4. Advanced Topics (4 weeks)
|
||||
|
||||
#### Week 1-2: Complex Economic Networks
|
||||
```python
|
||||
class EconomicNetwork:
|
||||
def __init__(self,
|
||||
n_institutions: int,
|
||||
network_topology: str):
|
||||
"""Initialize economic network."""
|
||||
self.institutions = [Institution() for _ in range(n_institutions)]
|
||||
self.topology = self._build_topology(network_topology)
|
||||
self.dynamics = NetworkDynamics()
|
||||
|
||||
def simulate_contagion(self,
|
||||
initial_shock: torch.Tensor) -> torch.Tensor:
|
||||
"""Simulate economic contagion through network."""
|
||||
propagation = self.dynamics.simulate(initial_shock)
|
||||
systemic_impact = self._assess_impact(propagation)
|
||||
return systemic_impact
|
||||
```
|
||||
|
||||
#### Week 3-4: Adaptive Markets
|
||||
- Market Evolution
|
||||
- Learning Dynamics
|
||||
- Innovation Diffusion
|
||||
- Institutional Adaptation
|
||||
|
||||
## Projects
|
||||
|
||||
### Market Projects
|
||||
1. **Trading Strategies**
|
||||
- Portfolio Management
|
||||
- Risk Assessment
|
||||
- Market Making
|
||||
- Arbitrage Detection
|
||||
|
||||
2. **Policy Analysis**
|
||||
- Intervention Design
|
||||
- Impact Assessment
|
||||
- Stability Analysis
|
||||
- Welfare Evaluation
|
||||
|
||||
### Application Projects
|
||||
1. **Financial Systems**
|
||||
- Market Microstructure
|
||||
- Systemic Risk
|
||||
- Crisis Prediction
|
||||
- Regulatory Design
|
||||
|
||||
2. **Economic Planning**
|
||||
- Resource Allocation
|
||||
- Market Design
|
||||
- Policy Optimization
|
||||
- Institutional Design
|
||||
|
||||
## Resources
|
||||
|
||||
### Academic Resources
|
||||
1. **Research Papers**
|
||||
- Economic Theory
|
||||
- Market Microstructure
|
||||
- Financial Economics
|
||||
- Behavioral Finance
|
||||
|
||||
2. **Books**
|
||||
- Market Dynamics
|
||||
- Economic Policy
|
||||
- Financial Theory
|
||||
- Complex Systems
|
||||
|
||||
### Technical Resources
|
||||
1. **Software Tools**
|
||||
- Economic Modeling
|
||||
- Market Simulation
|
||||
- Risk Analysis
|
||||
- Portfolio Management
|
||||
|
||||
2. **Data Resources**
|
||||
- Market Data
|
||||
- Economic Indicators
|
||||
- Financial Time Series
|
||||
- Policy Databases
|
||||
|
||||
## Next Steps
|
||||
|
||||
### Advanced Topics
|
||||
1. [[market_microstructure_learning_path|Market Microstructure]]
|
||||
2. [[financial_economics_learning_path|Financial Economics]]
|
||||
3. [[economic_policy_learning_path|Economic Policy]]
|
||||
|
||||
### Research Directions
|
||||
1. [[research_guides/market_dynamics|Market Dynamics Research]]
|
||||
2. [[research_guides/economic_policy|Economic Policy Research]]
|
||||
3. [[research_guides/financial_systems|Financial Systems Research]]
|
||||
247
docs/guides/learning_paths/active_inference_quantum_learning_path.md
Обычный файл
247
docs/guides/learning_paths/active_inference_quantum_learning_path.md
Обычный файл
@ -0,0 +1,247 @@
|
||||
---
|
||||
title: Active Inference in Quantum Intelligence Learning Path
|
||||
type: learning_path
|
||||
status: stable
|
||||
created: 2024-03-15
|
||||
complexity: advanced
|
||||
processing_priority: 1
|
||||
tags:
|
||||
- active-inference
|
||||
- quantum-computing
|
||||
- quantum-intelligence
|
||||
- quantum-cognition
|
||||
semantic_relations:
|
||||
- type: specializes
|
||||
links: [[active_inference_learning_path]]
|
||||
- type: relates
|
||||
links:
|
||||
- [[quantum_computing_learning_path]]
|
||||
- [[quantum_information_learning_path]]
|
||||
- [[quantum_cognition_learning_path]]
|
||||
---
|
||||
|
||||
# Active Inference in Quantum Intelligence Learning Path
|
||||
|
||||
## Overview
|
||||
|
||||
This specialized path focuses on applying Active Inference in quantum computational systems, exploring quantum advantages in intelligence and cognition. It integrates quantum computing, quantum information theory, and quantum cognitive architectures.
|
||||
|
||||
## Prerequisites
|
||||
|
||||
### 1. Quantum Foundations (4 weeks)
|
||||
- Quantum Computing
|
||||
- Quantum mechanics
|
||||
- Quantum circuits
|
||||
- Quantum algorithms
|
||||
- Quantum error correction
|
||||
|
||||
- Quantum Information
|
||||
- Quantum states
|
||||
- Quantum entanglement
|
||||
- Quantum channels
|
||||
- Quantum measurements
|
||||
|
||||
- Quantum Cognition
|
||||
- Quantum decision theory
|
||||
- Quantum probability
|
||||
- Quantum memory
|
||||
- Quantum learning
|
||||
|
||||
- Mathematical Foundations
|
||||
- Linear algebra
|
||||
- Complex analysis
|
||||
- Tensor networks
|
||||
- Information theory
|
||||
|
||||
### 2. Technical Skills (2 weeks)
|
||||
- Quantum Tools
|
||||
- Qiskit/Cirq
|
||||
- Quantum simulators
|
||||
- Quantum debuggers
|
||||
- Quantum visualization
|
||||
|
||||
## Core Learning Path
|
||||
|
||||
### 1. Quantum Intelligence Modeling (4 weeks)
|
||||
|
||||
#### Week 1-2: Quantum State Inference
|
||||
```python
|
||||
class QuantumStateEstimator:
|
||||
def __init__(self,
|
||||
n_qubits: int,
|
||||
measurement_basis: List[str]):
|
||||
"""Initialize quantum state estimator."""
|
||||
self.n_qubits = n_qubits
|
||||
self.quantum_circuit = QuantumCircuit(n_qubits)
|
||||
self.measurement_basis = measurement_basis
|
||||
|
||||
def estimate_state(self,
|
||||
measurements: torch.Tensor) -> QuantumState:
|
||||
"""Estimate quantum state from measurements."""
|
||||
density_matrix = self._reconstruct_state(measurements)
|
||||
return self._apply_quantum_inference(density_matrix)
|
||||
```
|
||||
|
||||
#### Week 3-4: Quantum Decision Making
|
||||
```python
|
||||
class QuantumDecisionMaker:
|
||||
def __init__(self,
|
||||
action_space: QuantumSpace,
|
||||
utility_operator: QuantumOperator):
|
||||
"""Initialize quantum decision maker."""
|
||||
self.action_space = action_space
|
||||
self.utility = utility_operator
|
||||
self.quantum_policy = QuantumPolicy()
|
||||
|
||||
def select_action(self,
|
||||
quantum_state: QuantumState,
|
||||
uncertainty: QuantumUncertainty) -> QuantumAction:
|
||||
"""Select quantum action under uncertainty."""
|
||||
superposition = self._create_action_superposition()
|
||||
measured_action = self._measure_optimal_action(superposition)
|
||||
return self._collapse_to_classical_action(measured_action)
|
||||
```
|
||||
|
||||
### 2. Quantum Applications (6 weeks)
|
||||
|
||||
#### Week 1-2: Quantum Perception
|
||||
- Quantum sensing
|
||||
- Quantum measurement
|
||||
- Quantum state tomography
|
||||
- Quantum error correction
|
||||
|
||||
#### Week 3-4: Quantum Learning
|
||||
- Quantum neural networks
|
||||
- Quantum reinforcement learning
|
||||
- Quantum Bayesian inference
|
||||
- Quantum optimization
|
||||
|
||||
#### Week 5-6: Quantum Cognition
|
||||
- Quantum memory
|
||||
- Quantum decision theory
|
||||
- Quantum consciousness
|
||||
- Quantum social choice
|
||||
|
||||
### 3. Quantum Intelligence (4 weeks)
|
||||
|
||||
#### Week 1-2: Quantum Advantage
|
||||
```python
|
||||
class QuantumAdvantage:
|
||||
def __init__(self,
|
||||
classical_system: ClassicalSystem,
|
||||
quantum_system: QuantumSystem):
|
||||
"""Initialize quantum advantage analysis."""
|
||||
self.classical = classical_system
|
||||
self.quantum = quantum_system
|
||||
self.comparator = SystemComparator()
|
||||
|
||||
def analyze_advantage(self,
|
||||
problem_instance: Problem) -> AdvantageMetrics:
|
||||
"""Analyze quantum advantage over classical."""
|
||||
classical_performance = self.classical.solve(problem_instance)
|
||||
quantum_performance = self.quantum.solve(problem_instance)
|
||||
return self.comparator.compute_advantage(
|
||||
classical_performance, quantum_performance
|
||||
)
|
||||
```
|
||||
|
||||
#### Week 3-4: Quantum Architectures
|
||||
- Quantum circuits
|
||||
- Quantum algorithms
|
||||
- Quantum error mitigation
|
||||
- Quantum communication
|
||||
|
||||
### 4. Advanced Topics (4 weeks)
|
||||
|
||||
#### Week 1-2: Quantum-Classical Integration
|
||||
```python
|
||||
class QuantumClassicalHybrid:
|
||||
def __init__(self,
|
||||
quantum_processor: QuantumProcessor,
|
||||
classical_processor: ClassicalProcessor):
|
||||
"""Initialize hybrid quantum-classical system."""
|
||||
self.quantum = quantum_processor
|
||||
self.classical = classical_processor
|
||||
self.interface = QuantumClassicalInterface()
|
||||
|
||||
def hybrid_computation(self,
|
||||
problem: HybridProblem) -> Solution:
|
||||
"""Perform hybrid quantum-classical computation."""
|
||||
quantum_part = self.quantum.process(problem.quantum_component)
|
||||
classical_part = self.classical.process(problem.classical_component)
|
||||
return self.interface.combine_results(quantum_part, classical_part)
|
||||
```
|
||||
|
||||
#### Week 3-4: Future Quantum Intelligence
|
||||
- Quantum supremacy
|
||||
- Post-quantum computing
|
||||
- Quantum internet
|
||||
- Quantum AGI
|
||||
|
||||
## Projects
|
||||
|
||||
### Quantum Projects
|
||||
1. **Quantum Implementation**
|
||||
- Quantum circuits
|
||||
- Quantum algorithms
|
||||
- Error correction
|
||||
- State preparation
|
||||
|
||||
2. **Quantum Applications**
|
||||
- Quantum sensing
|
||||
- Quantum learning
|
||||
- Quantum optimization
|
||||
- Quantum simulation
|
||||
|
||||
### Advanced Projects
|
||||
1. **Quantum Intelligence**
|
||||
- Quantum advantage
|
||||
- Hybrid systems
|
||||
- Quantum memory
|
||||
- Quantum cognition
|
||||
|
||||
2. **Quantum Future**
|
||||
- Quantum internet
|
||||
- Quantum security
|
||||
- Quantum communication
|
||||
- Quantum AGI
|
||||
|
||||
## Resources
|
||||
|
||||
### Academic Resources
|
||||
1. **Research Papers**
|
||||
- Quantum Computing
|
||||
- Quantum Information
|
||||
- Quantum Cognition
|
||||
- Quantum Intelligence
|
||||
|
||||
2. **Books**
|
||||
- Quantum Mechanics
|
||||
- Quantum Computing
|
||||
- Quantum Information
|
||||
- Quantum Algorithms
|
||||
|
||||
### Technical Resources
|
||||
1. **Software Tools**
|
||||
- Quantum SDKs
|
||||
- Quantum Simulators
|
||||
- Quantum Debuggers
|
||||
- Visualization Tools
|
||||
|
||||
2. **Hardware Resources**
|
||||
- Quantum Processors
|
||||
- Quantum Computers
|
||||
- Quantum Networks
|
||||
- Quantum Sensors
|
||||
|
||||
## Next Steps
|
||||
|
||||
### Advanced Topics
|
||||
1. [[quantum_computing_learning_path|Quantum Computing]]
|
||||
2. [[quantum_information_learning_path|Quantum Information]]
|
||||
3. [[quantum_cognition_learning_path|Quantum Cognition]]
|
||||
|
||||
### Research Directions
|
||||
1. [[research_guides/quantum_computing|Quantum Computing Research]]
|
||||
2. [[research_guides/quantum_intelligence|Quantum Intelligence Research]]
|
||||
3. [[research_guides/quantum_cognition|Quantum Cognition Research]]
|
||||
@ -0,0 +1,251 @@
|
||||
---
|
||||
title: Active Inference in Cognitive Security Learning Path
|
||||
type: learning_path
|
||||
status: stable
|
||||
created: 2024-03-15
|
||||
complexity: advanced
|
||||
processing_priority: 1
|
||||
tags:
|
||||
- active-inference
|
||||
- cognitive-security
|
||||
- infohazard-management
|
||||
- security-protocols
|
||||
semantic_relations:
|
||||
- type: specializes
|
||||
links: [[active_inference_learning_path]]
|
||||
- type: relates
|
||||
links:
|
||||
- [[cognitive_safety_learning_path]]
|
||||
- [[infohazard_management_learning_path]]
|
||||
- [[security_protocols_learning_path]]
|
||||
---
|
||||
|
||||
# Active Inference in Cognitive Security Learning Path
|
||||
|
||||
## Overview
|
||||
|
||||
This specialized path focuses on applying Active Inference to cognitive security, infohazard management, and secure information processing. It integrates security principles with cognitive architectures while maintaining robust safeguards.
|
||||
|
||||
## Prerequisites
|
||||
|
||||
### 1. Security Foundations (4 weeks)
|
||||
- Information Security
|
||||
- Cryptography basics
|
||||
- Security protocols
|
||||
- Threat modeling
|
||||
- Risk assessment
|
||||
|
||||
- Cognitive Security
|
||||
- Mental models
|
||||
- Information hazards
|
||||
- Cognitive vulnerabilities
|
||||
- Protection mechanisms
|
||||
|
||||
- Ethics & Safety
|
||||
- Responsible disclosure
|
||||
- Ethical guidelines
|
||||
- Safety protocols
|
||||
- Containment strategies
|
||||
|
||||
- Systems Theory
|
||||
- Security architecture
|
||||
- Defense in depth
|
||||
- System boundaries
|
||||
- Failure modes
|
||||
|
||||
### 2. Technical Skills (2 weeks)
|
||||
- Security Tools
|
||||
- Security frameworks
|
||||
- Monitoring systems
|
||||
- Analysis tools
|
||||
- Containment systems
|
||||
|
||||
## Core Learning Path
|
||||
|
||||
### 1. Cognitive Security Modeling (4 weeks)
|
||||
|
||||
#### Week 1-2: Security State Inference
|
||||
```python
|
||||
class CognitiveSecurityMonitor:
|
||||
def __init__(self,
|
||||
security_dims: List[int],
|
||||
threat_levels: List[str]):
|
||||
"""Initialize cognitive security monitor."""
|
||||
self.security_model = SecurityModel(security_dims)
|
||||
self.threat_detector = ThreatDetector(threat_levels)
|
||||
self.containment_system = ContainmentSystem()
|
||||
|
||||
def assess_security_state(self,
|
||||
information_state: torch.Tensor,
|
||||
safety_bounds: SafetyBounds) -> SecurityState:
|
||||
"""Assess cognitive security state."""
|
||||
threat_assessment = self.threat_detector.analyze(information_state)
|
||||
security_measures = self.security_model.recommend_measures(threat_assessment)
|
||||
return self.containment_system.validate_state(security_measures)
|
||||
```
|
||||
|
||||
#### Week 3-4: Infohazard Management
|
||||
```python
|
||||
class InfohazardManager:
|
||||
def __init__(self,
|
||||
hazard_types: List[str],
|
||||
containment_protocols: Dict[str, Protocol]):
|
||||
"""Initialize infohazard management system."""
|
||||
self.hazard_classifier = HazardClassifier(hazard_types)
|
||||
self.containment = containment_protocols
|
||||
self.safety_verifier = SafetyVerifier()
|
||||
|
||||
def manage_infohazard(self,
|
||||
information: Information,
|
||||
context: Context) -> SafetyResponse:
|
||||
"""Manage potential infohazard."""
|
||||
hazard_level = self.hazard_classifier.classify(information)
|
||||
protocol = self.select_containment_protocol(hazard_level)
|
||||
return self.apply_containment(information, protocol, context)
|
||||
```
|
||||
|
||||
### 2. Security Applications (6 weeks)
|
||||
|
||||
#### Week 1-2: Threat Detection
|
||||
- Pattern recognition
|
||||
- Anomaly detection
|
||||
- Risk assessment
|
||||
- Early warning systems
|
||||
|
||||
#### Week 3-4: Containment Strategies
|
||||
- Information containment
|
||||
- Cognitive quarantine
|
||||
- Hazard isolation
|
||||
- Security boundaries
|
||||
|
||||
#### Week 5-6: Security Protocols
|
||||
- Access control
|
||||
- Information flow
|
||||
- Security policies
|
||||
- Response procedures
|
||||
|
||||
### 3. Advanced Security (4 weeks)
|
||||
|
||||
#### Week 1-2: Security Architecture
|
||||
```python
|
||||
class SecurityArchitecture:
|
||||
def __init__(self,
|
||||
security_layers: List[SecurityLayer],
|
||||
verification_system: VerificationSystem):
|
||||
"""Initialize security architecture."""
|
||||
self.layers = security_layers
|
||||
self.verifier = verification_system
|
||||
self.monitor = SecurityMonitor()
|
||||
|
||||
def process_information(self,
|
||||
input_information: Information,
|
||||
security_policy: SecurityPolicy) -> SafeInformation:
|
||||
"""Process information through security layers."""
|
||||
current_state = input_information
|
||||
for layer in self.layers:
|
||||
current_state = layer.apply_security(current_state)
|
||||
self.verifier.verify_safety(current_state)
|
||||
return self.monitor.ensure_safety(current_state)
|
||||
```
|
||||
|
||||
#### Week 3-4: Response Systems
|
||||
- Incident response
|
||||
- Recovery procedures
|
||||
- System restoration
|
||||
- Learning mechanisms
|
||||
|
||||
### 4. Advanced Topics (4 weeks)
|
||||
|
||||
#### Week 1-2: Cognitive Defense
|
||||
```python
|
||||
class CognitiveDefenseSystem:
|
||||
def __init__(self,
|
||||
defense_mechanisms: List[DefenseMechanism],
|
||||
safety_bounds: SafetyBounds):
|
||||
"""Initialize cognitive defense system."""
|
||||
self.mechanisms = defense_mechanisms
|
||||
self.bounds = safety_bounds
|
||||
self.monitor = DefenseMonitor()
|
||||
|
||||
def protect_cognition(self,
|
||||
cognitive_state: CognitiveState,
|
||||
threat_model: ThreatModel) -> ProtectedState:
|
||||
"""Apply cognitive protection measures."""
|
||||
defense_plan = self.plan_defense(cognitive_state, threat_model)
|
||||
protected_state = self.apply_defenses(defense_plan)
|
||||
return self.monitor.validate_protection(protected_state)
|
||||
```
|
||||
|
||||
#### Week 3-4: Future Security
|
||||
- Advanced threats
|
||||
- Emerging hazards
|
||||
- Security evolution
|
||||
- Adaptive defense
|
||||
|
||||
## Projects
|
||||
|
||||
### Security Projects
|
||||
1. **Security Implementation**
|
||||
- Threat detection
|
||||
- Containment systems
|
||||
- Response protocols
|
||||
- Recovery procedures
|
||||
|
||||
2. **Infohazard Management**
|
||||
- Classification systems
|
||||
- Containment protocols
|
||||
- Safety verification
|
||||
- Risk mitigation
|
||||
|
||||
### Advanced Projects
|
||||
1. **Cognitive Protection**
|
||||
- Defense mechanisms
|
||||
- Security architecture
|
||||
- Monitoring systems
|
||||
- Recovery procedures
|
||||
|
||||
2. **Future Security**
|
||||
- Threat prediction
|
||||
- Adaptive defense
|
||||
- Evolution tracking
|
||||
- Resilience building
|
||||
|
||||
## Resources
|
||||
|
||||
### Academic Resources
|
||||
1. **Research Papers**
|
||||
- Cognitive Security
|
||||
- Infohazard Management
|
||||
- Security Theory
|
||||
- Defense Systems
|
||||
|
||||
2. **Books**
|
||||
- Security Principles
|
||||
- Cognitive Defense
|
||||
- Information Safety
|
||||
- Protection Systems
|
||||
|
||||
### Technical Resources
|
||||
1. **Software Tools**
|
||||
- Security Frameworks
|
||||
- Monitoring Systems
|
||||
- Analysis Tools
|
||||
- Protection Systems
|
||||
|
||||
2. **Security Resources**
|
||||
- Threat Databases
|
||||
- Security Protocols
|
||||
- Defense Patterns
|
||||
- Safety Guidelines
|
||||
|
||||
## Next Steps
|
||||
|
||||
### Advanced Topics
|
||||
1. [[cognitive_safety_learning_path|Cognitive Safety]]
|
||||
2. [[infohazard_management_learning_path|Infohazard Management]]
|
||||
3. [[security_protocols_learning_path|Security Protocols]]
|
||||
|
||||
### Research Directions
|
||||
1. [[research_guides/cognitive_security|Cognitive Security Research]]
|
||||
2. [[research_guides/infohazard_management|Infohazard Management Research]]
|
||||
3. [[research_guides/security_evolution|Security Evolution Research]]
|
||||
216
docs/guides/learning_paths/active_inference_social_learning_path.md
Обычный файл
216
docs/guides/learning_paths/active_inference_social_learning_path.md
Обычный файл
@ -0,0 +1,216 @@
|
||||
---
|
||||
title: Active Inference in Social Systems Learning Path
|
||||
type: learning_path
|
||||
status: stable
|
||||
created: 2024-03-15
|
||||
complexity: advanced
|
||||
processing_priority: 1
|
||||
tags:
|
||||
- active-inference
|
||||
- social-systems
|
||||
- collective-behavior
|
||||
- cultural-evolution
|
||||
semantic_relations:
|
||||
- type: specializes
|
||||
links: [[active_inference_learning_path]]
|
||||
- type: relates
|
||||
links:
|
||||
- [[social_systems_learning_path]]
|
||||
- [[collective_intelligence_learning_path]]
|
||||
- [[cultural_evolution_learning_path]]
|
||||
---
|
||||
|
||||
# Active Inference in Social Systems Learning Path
|
||||
|
||||
## Overview
|
||||
|
||||
This specialized path focuses on applying Active Inference to understand social dynamics, collective behavior, and cultural evolution. It integrates social theory with complex systems modeling.
|
||||
|
||||
## Prerequisites
|
||||
|
||||
### 1. Social Science Foundations (4 weeks)
|
||||
- Social Theory
|
||||
- Group dynamics
|
||||
- Social networks
|
||||
- Cultural transmission
|
||||
- Collective behavior
|
||||
|
||||
- Behavioral Science
|
||||
- Decision making
|
||||
- Social learning
|
||||
- Cooperation
|
||||
- Competition
|
||||
|
||||
- Research Methods
|
||||
- Network analysis
|
||||
- Behavioral experiments
|
||||
- Field studies
|
||||
- Data collection
|
||||
|
||||
- Systems Theory
|
||||
- Complex systems
|
||||
- Emergence
|
||||
- Self-organization
|
||||
- Information dynamics
|
||||
|
||||
### 2. Technical Skills (2 weeks)
|
||||
- Analysis Tools
|
||||
- Python/R
|
||||
- Network analysis
|
||||
- Statistical methods
|
||||
- Visualization
|
||||
|
||||
## Core Learning Path
|
||||
|
||||
### 1. Social Modeling (4 weeks)
|
||||
|
||||
#### Week 1-2: Collective State Inference
|
||||
```python
|
||||
class CollectiveStateEstimator:
|
||||
def __init__(self,
|
||||
n_agents: int,
|
||||
state_dim: int):
|
||||
"""Initialize collective state estimator."""
|
||||
self.agents = [SocialAgent() for _ in range(n_agents)]
|
||||
self.collective_state = torch.zeros(state_dim)
|
||||
self.interaction_network = self._build_network()
|
||||
```
|
||||
|
||||
#### Week 3-4: Social Action Selection
|
||||
```python
|
||||
class CollectiveController:
|
||||
def __init__(self,
|
||||
n_agents: int,
|
||||
action_space: int):
|
||||
"""Initialize collective controller."""
|
||||
self.policy = CollectivePolicy(n_agents, action_space)
|
||||
self.coordination = CoordinationMechanism()
|
||||
```
|
||||
|
||||
### 2. Social Applications (6 weeks)
|
||||
|
||||
#### Week 1-2: Group Dynamics
|
||||
- Collective Decision Making
|
||||
- Opinion Formation
|
||||
- Social Learning
|
||||
- Group Coordination
|
||||
|
||||
#### Week 3-4: Cultural Evolution
|
||||
- Cultural Transmission
|
||||
- Innovation Diffusion
|
||||
- Norm Formation
|
||||
- Social Change
|
||||
|
||||
#### Week 5-6: Network Dynamics
|
||||
- Information Flow
|
||||
- Influence Spread
|
||||
- Community Formation
|
||||
- Network Evolution
|
||||
|
||||
### 3. Collective Intelligence (4 weeks)
|
||||
|
||||
#### Week 1-2: Group Problem Solving
|
||||
```python
|
||||
class CollectiveProblemSolver:
|
||||
def __init__(self,
|
||||
n_agents: int,
|
||||
problem_space: ProblemSpace):
|
||||
"""Initialize collective problem solver."""
|
||||
self.agents = [ProblemSolvingAgent() for _ in range(n_agents)]
|
||||
self.problem = problem_space
|
||||
self.solution_space = SolutionSpace()
|
||||
```
|
||||
|
||||
#### Week 3-4: Collective Learning
|
||||
- Knowledge Aggregation
|
||||
- Skill Development
|
||||
- Collective Memory
|
||||
- Adaptive Learning
|
||||
|
||||
### 4. Advanced Topics (4 weeks)
|
||||
|
||||
#### Week 1-2: Social Institutions
|
||||
```python
|
||||
class InstitutionalDynamics:
|
||||
def __init__(self,
|
||||
n_institutions: int,
|
||||
social_network: nx.Graph):
|
||||
"""Initialize institutional dynamics."""
|
||||
self.institutions = [Institution() for _ in range(n_institutions)]
|
||||
self.network = social_network
|
||||
self.rules = RuleSystem()
|
||||
```
|
||||
|
||||
#### Week 3-4: Social Adaptation
|
||||
- Institutional Change
|
||||
- Social Innovation
|
||||
- Adaptive Governance
|
||||
- Resilience Building
|
||||
|
||||
## Projects
|
||||
|
||||
### Social Projects
|
||||
1. **Collective Behavior**
|
||||
- Opinion Dynamics
|
||||
- Social Learning
|
||||
- Group Coordination
|
||||
- Cultural Evolution
|
||||
|
||||
2. **Network Analysis**
|
||||
- Information Flow
|
||||
- Influence Spread
|
||||
- Community Detection
|
||||
- Network Evolution
|
||||
|
||||
### Application Projects
|
||||
1. **Social Systems**
|
||||
- Organizational Design
|
||||
- Policy Analysis
|
||||
- Social Innovation
|
||||
- Institutional Change
|
||||
|
||||
2. **Collective Intelligence**
|
||||
- Group Problem Solving
|
||||
- Knowledge Management
|
||||
- Collaborative Learning
|
||||
- Decision Support
|
||||
|
||||
## Resources
|
||||
|
||||
### Academic Resources
|
||||
1. **Research Papers**
|
||||
- Social Theory
|
||||
- Network Science
|
||||
- Cultural Evolution
|
||||
- Collective Behavior
|
||||
|
||||
2. **Books**
|
||||
- Social Systems
|
||||
- Complex Networks
|
||||
- Cultural Dynamics
|
||||
- Collective Intelligence
|
||||
|
||||
### Technical Resources
|
||||
1. **Software Tools**
|
||||
- Network Analysis
|
||||
- Agent-Based Modeling
|
||||
- Statistical Analysis
|
||||
- Visualization Tools
|
||||
|
||||
2. **Data Resources**
|
||||
- Social Networks
|
||||
- Cultural Data
|
||||
- Behavioral Data
|
||||
- Institutional Records
|
||||
|
||||
## Next Steps
|
||||
|
||||
### Advanced Topics
|
||||
1. [[social_network_analysis_learning_path|Social Network Analysis]]
|
||||
2. [[cultural_evolution_learning_path|Cultural Evolution]]
|
||||
3. [[collective_intelligence_learning_path|Collective Intelligence]]
|
||||
|
||||
### Research Directions
|
||||
1. [[research_guides/social_systems|Social Systems Research]]
|
||||
2. [[research_guides/cultural_evolution|Cultural Evolution Research]]
|
||||
3. [[research_guides/collective_behavior|Collective Behavior Research]]
|
||||
@ -19,6 +19,11 @@ semantic_relations:
|
||||
links:
|
||||
- [[documentation_standards]]
|
||||
- [[implementation_guides]]
|
||||
- type: knowledge_base
|
||||
links:
|
||||
- [[knowledge_base/cognitive/cognitive_science_index|Cognitive Science Index]]
|
||||
- [[knowledge_base/mathematics/mathematical_foundations|Mathematical Foundations]]
|
||||
- [[knowledge_base/systems/systems_theory|Systems Theory]]
|
||||
---
|
||||
|
||||
# Catalog of Learning Paths
|
||||
@ -31,110 +36,340 @@ This catalog organizes all available learning paths in the cognitive modeling fr
|
||||
|
||||
### Active Inference and Free Energy
|
||||
- [[active_inference_learning_path|Active Inference]] - Understanding perception, learning, and action through free energy minimization
|
||||
- Knowledge Base: [[knowledge_base/cognitive/active_inference|Active Inference Theory]], [[knowledge_base/mathematics/active_inference_theory|Mathematical Foundations]]
|
||||
|
||||
- [[active_inference_neuroscience_learning_path|Active Inference in Neuroscience]] - Neural implementations and clinical applications
|
||||
- Neural message passing and predictive coding in brain networks
|
||||
- Clinical applications in psychiatry and neurology
|
||||
- Knowledge Base: [[knowledge_base/cognitive/neural_computation|Neural Computation]], [[knowledge_base/cognitive/predictive_coding|Predictive Coding]]
|
||||
- Links: [[computational_psychiatry_learning_path]], [[neural_dynamics_learning_path]]
|
||||
|
||||
- [[active_inference_robotics_learning_path|Active Inference in Robotics]] - Robotic control and autonomous systems
|
||||
- Robot state estimation and action selection
|
||||
- Sensorimotor integration and planning
|
||||
- Knowledge Base: [[knowledge_base/cognitive/action_selection|Action Selection]], [[knowledge_base/cognitive/motor_control|Motor Control]]
|
||||
- Links: [[control_theory_learning_path]], [[autonomous_systems_learning_path]]
|
||||
|
||||
- [[active_inference_cognitive_learning_path|Active Inference in Cognitive Science]] - Cognitive modeling and behavior
|
||||
- [[active_inference_ecological_learning_path|Active Inference in Ecological Systems]] - Ecosystem dynamics and environmental management
|
||||
- Mental state inference and decision-making
|
||||
- Learning, memory, and social cognition
|
||||
- Knowledge Base: [[knowledge_base/cognitive/cognitive_science|Cognitive Science]], [[knowledge_base/cognitive/belief_updating|Belief Updating]]
|
||||
- Links: [[cognitive_psychology_learning_path]], [[decision_making_learning_path]]
|
||||
|
||||
- [[active_inference_ecological_learning_path|Active Inference in Ecological Systems]] - Ecosystem dynamics and management
|
||||
- Environmental state estimation and intervention
|
||||
- Resource management and climate adaptation
|
||||
- Knowledge Base: [[knowledge_base/BioFirm/ecological_active_inference|Ecological Active Inference]], [[knowledge_base/systems/ecological_systems|Ecological Systems]]
|
||||
- Links: [[ecological_systems_learning_path]], [[environmental_science_learning_path]]
|
||||
|
||||
- [[active_inference_social_learning_path|Active Inference in Social Systems]] - Social dynamics and collective behavior
|
||||
- Group decision-making and coordination
|
||||
- Cultural evolution and social learning
|
||||
- Knowledge Base: [[knowledge_base/cognitive/social_cognition|Social Cognition]], [[knowledge_base/systems/social_systems|Social Systems]]
|
||||
- Links: [[social_systems_learning_path]], [[collective_intelligence_learning_path]]
|
||||
|
||||
- [[active_inference_economic_learning_path|Active Inference in Economic Systems]] - Market dynamics and decision-making
|
||||
- Market state inference and policy design
|
||||
- Economic networks and adaptive markets
|
||||
- Knowledge Base: [[knowledge_base/systems/economic_systems|Economic Systems]], [[knowledge_base/mathematics/policy_selection|Policy Selection]]
|
||||
- Links: [[economic_systems_learning_path]], [[market_dynamics_learning_path]]
|
||||
|
||||
- [[active_inference_agi_learning_path|Active Inference in AGI and Superintelligence]] - Universal intelligence and safety
|
||||
- Meta-learning and recursive improvement
|
||||
- Safety-constrained intelligence amplification
|
||||
- Knowledge Base: [[knowledge_base/cognitive/metacognition|Metacognition]], [[knowledge_base/cognitive/cognitive_safety|Cognitive Safety]]
|
||||
- Links: [[agi_systems_learning_path]], [[superintelligence_learning_path]]
|
||||
|
||||
- [[active_inference_quantum_learning_path|Active Inference in Quantum Intelligence]] - Quantum computation and cognition
|
||||
- Quantum state inference and decision-making
|
||||
- Quantum advantage in intelligence
|
||||
- Knowledge Base: [[knowledge_base/mathematics/quantum_mechanics|Quantum Mechanics]], [[knowledge_base/cognitive/quantum_cognition|Quantum Cognition]]
|
||||
- Links: [[quantum_computing_learning_path]], [[quantum_cognition_learning_path]]
|
||||
|
||||
- [[active_inference_security_learning_path|Active Inference in Cognitive Security]] - Security and infohazard management
|
||||
- Cognitive security monitoring
|
||||
- Infohazard containment
|
||||
- Knowledge Base: [[knowledge_base/cognitive/cognitive_safety|Cognitive Safety]], [[knowledge_base/systems/security_systems|Security Systems]]
|
||||
- Links: [[cognitive_safety_learning_path]], [[infohazard_management_learning_path]]
|
||||
|
||||
- [[active_inference_biological_learning_path|Active Inference in Biological Intelligence]] - Natural intelligence and computation
|
||||
- Knowledge Base: [[knowledge_base/BioFirm/biofirm_active_inference_connections|Biological Active Inference]], [[knowledge_base/cognitive/complex_systems_biology|Complex Systems Biology]]
|
||||
- Biological state inference
|
||||
- Natural decision making
|
||||
- Evolutionary learning
|
||||
- Multi-scale integration
|
||||
- [[biological_systems_learning_path|Biological Systems]] - Natural system dynamics
|
||||
- Knowledge Base: [[knowledge_base/systems/biological_systems|Biological Systems]], [[knowledge_base/cognitive/natural_intelligence|Natural Intelligence]]
|
||||
- [[evolutionary_computation_learning_path|Evolutionary Computation]] - Natural algorithms
|
||||
- Knowledge Base: [[knowledge_base/mathematics/evolutionary_algorithms|Evolutionary Algorithms]], [[knowledge_base/cognitive/evolutionary_learning|Evolutionary Learning]]
|
||||
- [[natural_intelligence_learning_path|Natural Intelligence]] - Biological cognition
|
||||
- Knowledge Base: [[knowledge_base/cognitive/natural_intelligence|Natural Intelligence]], [[knowledge_base/cognitive/biological_computation|Biological Computation]]
|
||||
|
||||
- [[predictive_processing_learning_path|Predictive Processing]] - Hierarchical prediction error minimization in neural systems
|
||||
- [[free_energy_principle_learning_path|Free Energy Principle]] - Mathematical foundations of biological self-organization
|
||||
|
||||
### Mathematical Foundations
|
||||
- [[dynamical_systems_learning_path|Dynamical Systems]] - Evolution of systems over time
|
||||
- Knowledge Base: [[knowledge_base/mathematics/dynamical_systems|Dynamical Systems]], [[knowledge_base/mathematics/differential_geometry|Differential Geometry]]
|
||||
- [[stochastic_processes_learning_path|Stochastic Processes]] - Random dynamics and uncertainty
|
||||
- Knowledge Base: [[knowledge_base/mathematics/probability_theory|Probability Theory]], [[knowledge_base/mathematics/statistical_foundations|Statistical Foundations]]
|
||||
- [[information_theory_learning_path|Information Theory]] - Foundations of information and uncertainty
|
||||
- Knowledge Base: [[knowledge_base/mathematics/information_theory|Information Theory]], [[knowledge_base/mathematics/information_geometry|Information Geometry]]
|
||||
- [[optimization_theory_learning_path|Optimization Theory]] - Methods for finding optimal solutions
|
||||
- Knowledge Base: [[knowledge_base/mathematics/optimization_theory|Optimization Theory]], [[knowledge_base/mathematics/variational_methods|Variational Methods]]
|
||||
|
||||
### Complex Systems
|
||||
- [[network_science_learning_path|Network Science]] - Structure and dynamics of complex networks
|
||||
- Knowledge Base: [[knowledge_base/systems/network_science|Network Science]], [[knowledge_base/mathematics/graph_theory|Graph Theory]]
|
||||
- [[statistical_physics_learning_path|Statistical Physics]] - Emergence from microscopic to macroscopic
|
||||
- Knowledge Base: [[knowledge_base/mathematics/statistical_physics|Statistical Physics]], [[knowledge_base/mathematics/thermodynamics|Thermodynamics]]
|
||||
- [[complex_systems_learning_path|Complex Systems]] - Self-organization and emergence
|
||||
- Knowledge Base: [[knowledge_base/systems/complex_systems|Complex Systems]], [[knowledge_base/cognitive/emergence_self_organization|Emergence]]
|
||||
|
||||
### Social Systems
|
||||
- [[active_inference_social_learning_path|Active Inference in Social Systems]] - Social dynamics and collective behavior
|
||||
- Knowledge Base: [[knowledge_base/cognitive/social_cognition|Social Cognition]], [[knowledge_base/systems/social_systems|Social Systems]]
|
||||
- Group decision-making and coordination
|
||||
- Cultural evolution and learning
|
||||
- Social network dynamics
|
||||
- Collective intelligence
|
||||
- [[social_systems_learning_path|Social Systems]] - Social interaction and organization
|
||||
- Knowledge Base: [[knowledge_base/systems/social_systems|Social Systems]], [[knowledge_base/cognitive/cooperation|Cooperation]]
|
||||
- [[collective_intelligence_learning_path|Collective Intelligence]] - Group behavior and decision-making
|
||||
- Knowledge Base: [[knowledge_base/cognitive/collective_behavior|Collective Behavior]], [[knowledge_base/cognitive/swarm_intelligence|Swarm Intelligence]]
|
||||
- [[cultural_evolution_learning_path|Cultural Evolution]] - Cultural dynamics and transmission
|
||||
- Knowledge Base: [[knowledge_base/systems/cultural_evolution|Cultural Evolution]], [[knowledge_base/cognitive/social_learning|Social Learning]]
|
||||
|
||||
### Economic Systems
|
||||
- [[active_inference_economic_learning_path|Active Inference in Economic Systems]] - Market dynamics and decision-making
|
||||
- Knowledge Base: [[knowledge_base/systems/economic_systems|Economic Systems]], [[knowledge_base/mathematics/policy_selection|Policy Selection]]
|
||||
- Market state inference
|
||||
- Economic decision-making
|
||||
- Policy design
|
||||
- Complex economic networks
|
||||
- [[economic_systems_learning_path|Economic Systems]] - Economic theory and applications
|
||||
- Knowledge Base: [[knowledge_base/systems/economic_theory|Economic Theory]], [[knowledge_base/mathematics/game_theory|Game Theory]]
|
||||
- [[market_dynamics_learning_path|Market Dynamics]] - Market behavior and evolution
|
||||
- Knowledge Base: [[knowledge_base/systems/market_dynamics|Market Dynamics]], [[knowledge_base/mathematics/dynamical_systems|Dynamical Systems]]
|
||||
- [[financial_systems_learning_path|Financial Systems]] - Financial theory and practice
|
||||
- Knowledge Base: [[knowledge_base/systems/financial_systems|Financial Systems]], [[knowledge_base/mathematics/stochastic_processes|Stochastic Processes]]
|
||||
|
||||
### Artificial General Intelligence
|
||||
- [[active_inference_agi_learning_path|Active Inference in AGI and Superintelligence]] - Universal intelligence and superintelligence
|
||||
- Knowledge Base: [[knowledge_base/cognitive/metacognition|Metacognition]], [[knowledge_base/cognitive/cognitive_safety|Cognitive Safety]]
|
||||
- Meta-learning and recursive improvement
|
||||
- Safety-constrained intelligence amplification
|
||||
- Universal intelligence frameworks
|
||||
- Future intelligence development
|
||||
- [[agi_systems_learning_path|AGI Systems]] - General intelligence architectures
|
||||
- Knowledge Base: [[knowledge_base/cognitive/cognitive_architecture|Cognitive Architecture]], [[knowledge_base/cognitive/universal_intelligence|Universal Intelligence]]
|
||||
- [[superintelligence_learning_path|Superintelligence]] - Advanced cognitive capabilities
|
||||
- Knowledge Base: [[knowledge_base/cognitive/superintelligence|Superintelligence]], [[knowledge_base/cognitive/intelligence_amplification|Intelligence Amplification]]
|
||||
- [[cognitive_safety_learning_path|Cognitive Safety]] - Safe intelligence development
|
||||
- Knowledge Base: [[knowledge_base/cognitive/cognitive_safety|Cognitive Safety]], [[knowledge_base/systems/safety_engineering|Safety Engineering]]
|
||||
|
||||
### Quantum Intelligence
|
||||
- [[active_inference_quantum_learning_path|Active Inference in Quantum Intelligence]] - Quantum intelligence and computation
|
||||
- Knowledge Base: [[knowledge_base/mathematics/quantum_mechanics|Quantum Mechanics]], [[knowledge_base/cognitive/quantum_cognition|Quantum Cognition]]
|
||||
- Quantum state inference
|
||||
- Quantum decision making
|
||||
- Quantum advantage
|
||||
- Quantum-classical integration
|
||||
- [[quantum_computing_learning_path|Quantum Computing]] - Quantum computation fundamentals
|
||||
- Knowledge Base: [[knowledge_base/mathematics/quantum_computing|Quantum Computing]], [[knowledge_base/mathematics/quantum_algorithms|Quantum Algorithms]]
|
||||
- [[quantum_information_learning_path|Quantum Information]] - Quantum information theory
|
||||
- Knowledge Base: [[knowledge_base/mathematics/quantum_information|Quantum Information]], [[knowledge_base/mathematics/quantum_entanglement|Quantum Entanglement]]
|
||||
- [[quantum_cognition_learning_path|Quantum Cognition]] - Quantum approaches to cognition
|
||||
- Knowledge Base: [[knowledge_base/cognitive/quantum_cognition|Quantum Cognition]], [[knowledge_base/cognitive/quantum_decision_theory|Quantum Decision Theory]]
|
||||
|
||||
### Cognitive Security and Safety
|
||||
- [[active_inference_security_learning_path|Active Inference in Cognitive Security]] - Security and infohazard management
|
||||
- Knowledge Base: [[knowledge_base/cognitive/cognitive_safety|Cognitive Safety]], [[knowledge_base/systems/security_systems|Security Systems]]
|
||||
- Cognitive security monitoring
|
||||
- Infohazard management
|
||||
- Security architecture
|
||||
- Defense systems
|
||||
- [[cognitive_safety_learning_path|Cognitive Safety]] - Safe cognitive systems
|
||||
- Knowledge Base: [[knowledge_base/cognitive/cognitive_safety|Cognitive Safety]], [[knowledge_base/cognitive/safety_constraints|Safety Constraints]]
|
||||
- [[infohazard_management_learning_path|Infohazard Management]] - Information hazard control
|
||||
- Knowledge Base: [[knowledge_base/systems/infohazard_theory|Infohazard Theory]], [[knowledge_base/systems/information_security|Information Security]]
|
||||
- [[security_protocols_learning_path|Security Protocols]] - Security implementation
|
||||
- Knowledge Base: [[knowledge_base/systems/security_protocols|Security Protocols]], [[knowledge_base/systems/cryptography|Cryptography]]
|
||||
|
||||
## Application Domains
|
||||
|
||||
### Neuroscience and Cognition
|
||||
- [[active_inference_neuroscience_learning_path|Active Inference in Neuroscience]] - Neural implementations and clinical applications
|
||||
- Knowledge Base: [[knowledge_base/cognitive/neural_computation|Neural Computation]], [[knowledge_base/cognitive/predictive_coding|Predictive Coding]]
|
||||
- Neural message passing and predictive coding
|
||||
- Brain dynamics and hierarchical processing
|
||||
- Clinical applications and disorders
|
||||
- Experimental paradigms
|
||||
- [[neural_dynamics_learning_path|Neural Dynamics]] - Brain dynamics and computation
|
||||
- Knowledge Base: [[knowledge_base/cognitive/neural_dynamics|Neural Dynamics]], [[knowledge_base/cognitive/synaptic_plasticity|Synaptic Plasticity]]
|
||||
- [[cognitive_architecture_learning_path|Cognitive Architecture]] - Design of cognitive systems
|
||||
- Knowledge Base: [[knowledge_base/cognitive/cognitive_architecture|Cognitive Architecture]], [[knowledge_base/cognitive/hierarchical_processing|Hierarchical Processing]]
|
||||
- [[neural_networks_learning_path|Neural Networks]] - Artificial neural computation
|
||||
- Knowledge Base: [[knowledge_base/cognitive/neural_networks|Neural Networks]], [[knowledge_base/cognitive/deep_learning|Deep Learning]]
|
||||
- [[reinforcement_learning_path|Reinforcement Learning]] - Learning through interaction
|
||||
- Related Active Inference Path: [[active_inference_neuroscience_learning_path|Active Inference in Neuroscience]]
|
||||
- Knowledge Base: [[knowledge_base/cognitive/reinforcement_learning|Reinforcement Learning]], [[knowledge_base/cognitive/reward_processing|Reward Processing]]
|
||||
|
||||
### Robotics and Control
|
||||
- [[active_inference_robotics_learning_path|Active Inference in Robotics]] - Robotic control and autonomous systems
|
||||
- Knowledge Base: [[knowledge_base/cognitive/motor_control|Motor Control]], [[knowledge_base/cognitive/action_selection|Action Selection]]
|
||||
- Robot state estimation and inference
|
||||
- Action selection and planning
|
||||
- Sensorimotor integration
|
||||
- Human-robot interaction
|
||||
- [[control_theory_learning_path|Control Theory]] - System regulation and control
|
||||
- Knowledge Base: [[knowledge_base/mathematics/control_theory|Control Theory]], [[knowledge_base/mathematics/optimal_control|Optimal Control]]
|
||||
- [[robotics_learning_path|Robotics]] - Autonomous systems and control
|
||||
- Knowledge Base: [[knowledge_base/systems/robotics|Robotics]], [[knowledge_base/cognitive/sensorimotor_coordination|Sensorimotor Coordination]]
|
||||
- [[signal_processing_learning_path|Signal Processing]] - Analysis and processing of signals
|
||||
- Related Active Inference Path: [[active_inference_robotics_learning_path|Active Inference in Robotics]]
|
||||
- Knowledge Base: [[knowledge_base/mathematics/signal_processing|Signal Processing]], [[knowledge_base/mathematics/time_series_analysis|Time Series Analysis]]
|
||||
|
||||
### Cognitive Science
|
||||
- [[active_inference_cognitive_learning_path|Active Inference in Cognitive Science]] - Cognitive modeling and behavior
|
||||
- Knowledge Base: [[knowledge_base/cognitive/cognitive_science|Cognitive Science]], [[knowledge_base/cognitive/belief_updating|Belief Updating]]
|
||||
- Mental state inference
|
||||
- Decision-making and planning
|
||||
- Learning and memory
|
||||
- Social cognition
|
||||
- [[cognitive_psychology_learning_path|Cognitive Psychology]] - Mental processes and behavior
|
||||
- Knowledge Base: [[knowledge_base/cognitive/cognitive_psychology|Cognitive Psychology]], [[knowledge_base/cognitive/memory_systems|Memory Systems]]
|
||||
- [[decision_making_learning_path|Decision Making]] - Choice and action selection
|
||||
- Knowledge Base: [[knowledge_base/cognitive/decision_making|Decision Making]], [[knowledge_base/cognitive/value_computation|Value Computation]]
|
||||
- [[learning_theory_learning_path|Learning Theory]] - Principles of learning and adaptation
|
||||
- Related Active Inference Path: [[active_inference_cognitive_learning_path|Active Inference in Cognitive Science]]
|
||||
- Knowledge Base: [[knowledge_base/cognitive/learning_theory|Learning Theory]], [[knowledge_base/cognitive/skill_acquisition|Skill Acquisition]]
|
||||
|
||||
### Ecological Systems
|
||||
- [[active_inference_ecological_learning_path|Active Inference in Ecological Systems]] - Ecosystem dynamics and environmental management
|
||||
- Knowledge Base: [[knowledge_base/BioFirm/ecological_active_inference|Ecological Active Inference]], [[knowledge_base/systems/ecological_systems|Ecological Systems]]
|
||||
- System state estimation
|
||||
- Intervention planning
|
||||
- Resource management
|
||||
- Climate adaptation
|
||||
- [[ecological_systems_learning_path|Ecological Systems]] - Population and ecosystem dynamics
|
||||
- Knowledge Base: [[knowledge_base/systems/ecological_dynamics|Ecological Dynamics]], [[knowledge_base/systems/population_dynamics|Population Dynamics]]
|
||||
- [[environmental_science_learning_path|Environmental Science]] - Environmental processes and management
|
||||
- Knowledge Base: [[knowledge_base/systems/environmental_science|Environmental Science]], [[knowledge_base/systems/climate_systems|Climate Systems]]
|
||||
- [[sustainability_learning_path|Sustainability]] - Sustainable system design and management
|
||||
- Related Active Inference Path: [[active_inference_ecological_learning_path|Active Inference in Ecological Systems]]
|
||||
- Knowledge Base: [[knowledge_base/systems/sustainability|Sustainability]], [[knowledge_base/systems/resilience_theory|Resilience Theory]]
|
||||
|
||||
## Implementation Skills
|
||||
|
||||
### Programming and Tools
|
||||
- [[scientific_computing_learning_path|Scientific Computing]] - Numerical methods and simulation
|
||||
- Knowledge Base: [[knowledge_base/mathematics/numerical_methods|Numerical Methods]], [[knowledge_base/mathematics/computational_mathematics|Computational Mathematics]]
|
||||
- [[data_analysis_learning_path|Data Analysis]] - Statistical analysis and visualization
|
||||
- Knowledge Base: [[knowledge_base/mathematics/statistical_analysis|Statistical Analysis]], [[knowledge_base/mathematics/data_visualization|Data Visualization]]
|
||||
- [[machine_learning_learning_path|Machine Learning]] - Statistical learning and prediction
|
||||
- Knowledge Base: [[knowledge_base/cognitive/machine_learning|Machine Learning]], [[knowledge_base/mathematics/statistical_learning|Statistical Learning]]
|
||||
|
||||
### Software Development
|
||||
- [[software_engineering_learning_path|Software Engineering]] - Development best practices
|
||||
- Knowledge Base: [[knowledge_base/systems/software_engineering|Software Engineering]], [[knowledge_base/systems/design_patterns|Design Patterns]]
|
||||
- [[testing_and_validation_learning_path|Testing and Validation]] - Quality assurance
|
||||
- Knowledge Base: [[knowledge_base/systems/testing_methodology|Testing Methodology]], [[knowledge_base/systems/validation_verification|Validation and Verification]]
|
||||
- [[documentation_learning_path|Documentation]] - Code and system documentation
|
||||
- Knowledge Base: [[knowledge_base/systems/documentation_standards|Documentation Standards]], [[knowledge_base/systems/technical_writing|Technical Writing]]
|
||||
|
||||
## Research Methods
|
||||
|
||||
### Theoretical Methods
|
||||
- [[mathematical_modeling_learning_path|Mathematical Modeling]] - Model development and analysis
|
||||
- Knowledge Base: [[knowledge_base/mathematics/mathematical_modeling|Mathematical Modeling]], [[knowledge_base/mathematics/model_analysis|Model Analysis]]
|
||||
- [[analytical_methods_learning_path|Analytical Methods]] - Mathematical analysis techniques
|
||||
- Knowledge Base: [[knowledge_base/mathematics/analytical_methods|Analytical Methods]], [[knowledge_base/mathematics/mathematical_analysis|Mathematical Analysis]]
|
||||
- [[computational_modeling_learning_path|Computational Modeling]] - Simulation and numerical methods
|
||||
- Knowledge Base: [[knowledge_base/mathematics/computational_modeling|Computational Modeling]], [[knowledge_base/mathematics/simulation_methods|Simulation Methods]]
|
||||
|
||||
### Experimental Methods
|
||||
- [[experimental_design_learning_path|Experimental Design]] - Planning and conducting experiments
|
||||
- Knowledge Base: [[knowledge_base/mathematics/experimental_design|Experimental Design]], [[knowledge_base/mathematics/research_methodology|Research Methodology]]
|
||||
- [[data_collection_learning_path|Data Collection]] - Gathering and managing data
|
||||
- Knowledge Base: [[knowledge_base/systems/data_collection|Data Collection]], [[knowledge_base/systems/data_management|Data Management]]
|
||||
- [[analysis_methods_learning_path|Analysis Methods]] - Data analysis and interpretation
|
||||
- Knowledge Base: [[knowledge_base/mathematics/analysis_methods|Analysis Methods]], [[knowledge_base/mathematics/statistical_inference|Statistical Inference]]
|
||||
|
||||
## Path Selection Guide
|
||||
|
||||
### By Domain Interest
|
||||
1. **Neuroscience Focus**
|
||||
- Knowledge Base: [[knowledge_base/cognitive/neuroscience|Neuroscience]], [[knowledge_base/cognitive/neural_computation|Neural Computation]]
|
||||
- Start with: [[active_inference_neuroscience_learning_path]]
|
||||
- Follow with: [[neural_dynamics_learning_path]], [[cognitive_architecture_learning_path]]
|
||||
- Advanced: [[computational_psychiatry_learning_path]]
|
||||
|
||||
2. **Robotics Focus**
|
||||
- Knowledge Base: [[knowledge_base/systems/robotics|Robotics]], [[knowledge_base/cognitive/motor_control|Motor Control]]
|
||||
- Start with: [[active_inference_robotics_learning_path]]
|
||||
- Follow with: [[control_theory_learning_path]], [[robotics_learning_path]]
|
||||
- Advanced: [[autonomous_systems_learning_path]]
|
||||
|
||||
3. **Cognitive Science Focus**
|
||||
- Knowledge Base: [[knowledge_base/cognitive/cognitive_science|Cognitive Science]], [[knowledge_base/cognitive/cognitive_architecture|Cognitive Architecture]]
|
||||
- Start with: [[active_inference_cognitive_learning_path]]
|
||||
- Follow with: [[cognitive_psychology_learning_path]], [[decision_making_learning_path]]
|
||||
- Advanced: [[computational_cognitive_science_learning_path]]
|
||||
|
||||
4. **Ecological Focus**
|
||||
- Knowledge Base: [[knowledge_base/BioFirm/ecological_active_inference|Ecological Active Inference]], [[knowledge_base/systems/ecological_systems|Ecological Systems]]
|
||||
- Start with: [[active_inference_ecological_learning_path]]
|
||||
- Follow with: [[ecological_systems_learning_path]], [[environmental_science_learning_path]]
|
||||
- Advanced: [[complex_systems_learning_path]]
|
||||
|
||||
5. **Social Systems Focus**
|
||||
- Knowledge Base: [[knowledge_base/cognitive/social_cognition|Social Cognition]], [[knowledge_base/systems/social_systems|Social Systems]]
|
||||
- Start with: [[active_inference_social_learning_path]]
|
||||
- Follow with: [[social_systems_learning_path]], [[collective_intelligence_learning_path]]
|
||||
- Advanced: [[cultural_evolution_learning_path]]
|
||||
|
||||
6. **Economic Systems Focus**
|
||||
- Knowledge Base: [[knowledge_base/systems/economic_systems|Economic Systems]], [[knowledge_base/mathematics/game_theory|Game Theory]]
|
||||
- Start with: [[active_inference_economic_learning_path]]
|
||||
- Follow with: [[economic_systems_learning_path]], [[market_dynamics_learning_path]]
|
||||
- Advanced: [[financial_systems_learning_path]]
|
||||
|
||||
7. **AGI and Superintelligence Focus**
|
||||
- Knowledge Base: [[knowledge_base/cognitive/metacognition|Metacognition]], [[knowledge_base/cognitive/superintelligence|Superintelligence]]
|
||||
- Start with: [[active_inference_agi_learning_path]]
|
||||
- Follow with: [[agi_systems_learning_path]], [[cognitive_safety_learning_path]]
|
||||
- Advanced: [[superintelligence_learning_path]]
|
||||
|
||||
8. **Quantum Intelligence Focus**
|
||||
- Knowledge Base: [[knowledge_base/mathematics/quantum_mechanics|Quantum Mechanics]], [[knowledge_base/cognitive/quantum_cognition|Quantum Cognition]]
|
||||
- Start with: [[active_inference_quantum_learning_path]]
|
||||
- Follow with: [[quantum_computing_learning_path]], [[quantum_information_learning_path]]
|
||||
- Advanced: [[quantum_cognition_learning_path]]
|
||||
|
||||
9. **Cognitive Security Focus**
|
||||
- Knowledge Base: [[knowledge_base/cognitive/cognitive_safety|Cognitive Safety]], [[knowledge_base/systems/security_systems|Security Systems]]
|
||||
- Start with: [[active_inference_security_learning_path]]
|
||||
- Follow with: [[cognitive_safety_learning_path]], [[infohazard_management_learning_path]]
|
||||
- Advanced: [[security_protocols_learning_path]]
|
||||
|
||||
10. **Biological Intelligence Focus**
|
||||
- Knowledge Base: [[knowledge_base/BioFirm/biofirm_active_inference_connections|Biological Active Inference]], [[knowledge_base/cognitive/natural_intelligence|Natural Intelligence]]
|
||||
- Start with: [[active_inference_biological_learning_path]]
|
||||
- Follow with: [[biological_systems_learning_path]], [[evolutionary_computation_learning_path]]
|
||||
- Advanced: [[natural_intelligence_learning_path]]
|
||||
|
||||
### By Background
|
||||
1. **Mathematics/Physics Background**
|
||||
- Knowledge Base: [[knowledge_base/mathematics/mathematical_foundations|Mathematical Foundations]], [[knowledge_base/mathematics/statistical_physics|Statistical Physics]]
|
||||
- Start with: Active Inference, Dynamical Systems
|
||||
- Follow with: Statistical Physics, Complex Systems
|
||||
- Advanced: Free Energy Principle, Information Geometry
|
||||
|
||||
2. **Computer Science Background**
|
||||
- Knowledge Base: [[knowledge_base/cognitive/machine_learning|Machine Learning]], [[knowledge_base/cognitive/neural_computation|Neural Computation]]
|
||||
- Start with: Neural Networks, Machine Learning
|
||||
- Follow with: Predictive Processing, Control Theory
|
||||
- Advanced: Active Inference, Cognitive Architecture
|
||||
|
||||
3. **Biology/Neuroscience Background**
|
||||
- Knowledge Base: [[knowledge_base/cognitive/neuroscience|Neuroscience]], [[knowledge_base/cognitive/complex_systems_biology|Complex Systems Biology]]
|
||||
- Start with: Neural Dynamics, Ecological Systems
|
||||
- Follow with: Network Science, Complex Systems
|
||||
- Advanced: Free Energy Principle, Active Inference
|
||||
@ -142,6 +377,7 @@ This catalog organizes all available learning paths in the cognitive modeling fr
|
||||
## Learning Resources
|
||||
|
||||
### General Resources
|
||||
- Knowledge Base: [[knowledge_base/cognitive/cognitive_science_index|Cognitive Science Index]], [[knowledge_base/mathematics/mathematical_foundations|Mathematical Foundations]]
|
||||
- Online courses and lectures
|
||||
- Textbooks and papers
|
||||
- Software tools and libraries
|
||||
@ -149,30 +385,500 @@ This catalog organizes all available learning paths in the cognitive modeling fr
|
||||
|
||||
### Domain-Specific Resources
|
||||
1. **Neuroscience**
|
||||
- Knowledge Base: [[knowledge_base/cognitive/neuroscience|Neuroscience]], [[knowledge_base/cognitive/neural_computation|Neural Computation]]
|
||||
- Brain imaging tools
|
||||
- Neural data analysis
|
||||
- Clinical applications
|
||||
- Research methods
|
||||
|
||||
2. **Robotics**
|
||||
- Knowledge Base: [[knowledge_base/systems/robotics|Robotics]], [[knowledge_base/cognitive/motor_control|Motor Control]]
|
||||
- Simulation environments
|
||||
- Hardware interfaces
|
||||
- Control systems
|
||||
- Planning tools
|
||||
|
||||
3. **Cognitive Science**
|
||||
- Knowledge Base: [[knowledge_base/cognitive/cognitive_science|Cognitive Science]], [[knowledge_base/cognitive/cognitive_architecture|Cognitive Architecture]]
|
||||
- Experimental software
|
||||
- Behavioral measures
|
||||
- Analysis tools
|
||||
- Modeling frameworks
|
||||
|
||||
4. **Ecological Systems**
|
||||
- Knowledge Base: [[knowledge_base/BioFirm/ecological_active_inference|Ecological Active Inference]], [[knowledge_base/systems/ecological_systems|Ecological Systems]]
|
||||
- Environmental data
|
||||
- GIS tools
|
||||
- Monitoring systems
|
||||
- Management software
|
||||
|
||||
5. **Social Systems**
|
||||
- Knowledge Base: [[knowledge_base/cognitive/social_cognition|Social Cognition]], [[knowledge_base/systems/social_systems|Social Systems]]
|
||||
- Social network analysis tools
|
||||
- Group behavior measurement
|
||||
- Cultural analytics software
|
||||
- Collective dynamics tools
|
||||
|
||||
6. **Economic Systems**
|
||||
- Knowledge Base: [[knowledge_base/systems/economic_systems|Economic Systems]], [[knowledge_base/mathematics/game_theory|Game Theory]]
|
||||
- Economic modeling tools
|
||||
- Market analysis software
|
||||
- Financial data platforms
|
||||
- Policy analysis frameworks
|
||||
|
||||
7. **AGI and Superintelligence**
|
||||
- Knowledge Base: [[knowledge_base/cognitive/metacognition|Metacognition]], [[knowledge_base/cognitive/superintelligence|Superintelligence]]
|
||||
- AGI development frameworks
|
||||
- Safety verification tools
|
||||
- Meta-learning systems
|
||||
- Intelligence amplification tools
|
||||
|
||||
8. **Quantum Intelligence**
|
||||
- Knowledge Base: [[knowledge_base/mathematics/quantum_mechanics|Quantum Mechanics]], [[knowledge_base/cognitive/quantum_cognition|Quantum Cognition]]
|
||||
- Quantum development kits
|
||||
- Quantum simulators
|
||||
- Quantum debuggers
|
||||
- Quantum visualization tools
|
||||
|
||||
9. **Cognitive Security**
|
||||
- Knowledge Base: [[knowledge_base/cognitive/cognitive_safety|Cognitive Safety]], [[knowledge_base/systems/security_systems|Security Systems]]
|
||||
- Security frameworks
|
||||
- Monitoring systems
|
||||
- Containment tools
|
||||
- Defense systems
|
||||
|
||||
10. **Biological Intelligence**
|
||||
- Knowledge Base: [[knowledge_base/BioFirm/biofirm_active_inference_connections|Biological Active Inference]], [[knowledge_base/cognitive/natural_intelligence|Natural Intelligence]]
|
||||
- Bioinformatics tools
|
||||
- Systems modeling software
|
||||
- Network analysis tools
|
||||
- Evolutionary simulators
|
||||
|
||||
## Related Documentation
|
||||
- [[documentation_standards]]
|
||||
- [[implementation_guides]]
|
||||
- [[research_guides]]
|
||||
|
||||
## Advanced Topics and Integration
|
||||
|
||||
### Cross-Domain Applications
|
||||
- [[active_inference_multiscale|Active Inference Across Scales]] - Multi-scale integration
|
||||
- Knowledge Base: [[knowledge_base/cognitive/multiscale_integration|Multiscale Integration]], [[knowledge_base/systems/scale_bridging|Scale Bridging]]
|
||||
- Hierarchical modeling
|
||||
- Cross-scale dynamics
|
||||
- Emergence patterns
|
||||
- Integration methods
|
||||
|
||||
### Advanced Theory
|
||||
- [[advanced_free_energy|Advanced Free Energy Theory]] - Theoretical extensions
|
||||
- Knowledge Base: [[knowledge_base/mathematics/advanced_free_energy|Advanced Free Energy]], [[knowledge_base/mathematics/information_geometry|Information Geometry]]
|
||||
- Non-equilibrium extensions
|
||||
- Quantum formulations
|
||||
- Relativistic frameworks
|
||||
- Category theory approaches
|
||||
|
||||
### Future Directions
|
||||
- [[future_active_inference|Future Active Inference]] - Research frontiers
|
||||
- Knowledge Base: [[knowledge_base/cognitive/future_directions|Future Directions]], [[knowledge_base/cognitive/research_frontiers|Research Frontiers]]
|
||||
- Universal intelligence
|
||||
- Consciousness theories
|
||||
- Social evolution
|
||||
- Technological integration
|
||||
|
||||
## Research and Development Tools
|
||||
|
||||
### Analysis Tools
|
||||
- [[analysis_frameworks|Analysis Frameworks]] - Analysis and validation
|
||||
- Knowledge Base: [[knowledge_base/mathematics/analysis_frameworks|Analysis Frameworks]], [[knowledge_base/mathematics/validation_methods|Validation Methods]]
|
||||
- Statistical analysis
|
||||
- Performance metrics
|
||||
- Validation tools
|
||||
- Visualization systems
|
||||
|
||||
### Development Frameworks
|
||||
- [[development_tools|Development Tools]] - Implementation tools
|
||||
- Knowledge Base: [[knowledge_base/systems/development_frameworks|Development Frameworks]], [[knowledge_base/systems/software_tools|Software Tools]]
|
||||
- Code libraries
|
||||
- Testing frameworks
|
||||
- Documentation tools
|
||||
- Integration platforms
|
||||
|
||||
### Simulation Environments
|
||||
- [[simulation_tools|Simulation Tools]] - Modeling and simulation
|
||||
- Knowledge Base: [[knowledge_base/mathematics/simulation_environments|Simulation Environments]], [[knowledge_base/mathematics/numerical_methods|Numerical Methods]]
|
||||
- Virtual environments
|
||||
- Physics engines
|
||||
- Agent frameworks
|
||||
- Visualization tools
|
||||
|
||||
## Community and Resources
|
||||
|
||||
### Learning Communities
|
||||
- [[learning_communities|Learning Communities]] - Educational resources
|
||||
- Knowledge Base: [[knowledge_base/systems/learning_communities|Learning Communities]], [[knowledge_base/systems/educational_resources|Educational Resources]]
|
||||
- Online courses
|
||||
- Discussion forums
|
||||
- Code repositories
|
||||
- Tutorial systems
|
||||
|
||||
### Research Networks
|
||||
- [[research_networks|Research Networks]] - Research collaboration
|
||||
- Knowledge Base: [[knowledge_base/systems/research_networks|Research Networks]], [[knowledge_base/systems/collaboration_platforms|Collaboration Platforms]]
|
||||
- Academic groups
|
||||
- Industry partners
|
||||
- Open projects
|
||||
- Publication venues
|
||||
|
||||
### Development Resources
|
||||
- [[development_resources|Development Resources]] - Implementation support
|
||||
- Knowledge Base: [[knowledge_base/systems/development_resources|Development Resources]], [[knowledge_base/systems/technical_resources|Technical Resources]]
|
||||
- Code examples
|
||||
- Design patterns
|
||||
- Best practices
|
||||
- Tool guides
|
||||
|
||||
## Related Documentation
|
||||
- [[documentation_standards|Documentation Standards]]
|
||||
- Knowledge Base: [[knowledge_base/systems/documentation_standards|Documentation Standards]], [[knowledge_base/systems/technical_writing|Technical Writing]]
|
||||
- [[implementation_guides|Implementation Guides]]
|
||||
- Knowledge Base: [[knowledge_base/systems/implementation_guides|Implementation Guides]], [[knowledge_base/systems/development_practices|Development Practices]]
|
||||
- [[research_guides|Research Guides]]
|
||||
- Knowledge Base: [[knowledge_base/systems/research_guides|Research Guides]], [[knowledge_base/systems/research_methodology|Research Methodology]]
|
||||
|
||||
## Advanced Integration Patterns
|
||||
|
||||
### Multi-Scale Integration
|
||||
- [[multiscale_active_inference|Multi-scale Active Inference]] - Cross-scale dynamics
|
||||
- Knowledge Base: [[knowledge_base/cognitive/multiscale_integration|Multiscale Integration]], [[knowledge_base/systems/hierarchical_systems|Hierarchical Systems]]
|
||||
- Scale bridging methods
|
||||
- Emergence patterns
|
||||
- Hierarchical modeling
|
||||
- Integration frameworks
|
||||
|
||||
### Cross-Domain Synthesis
|
||||
- [[cross_domain_active_inference|Cross-domain Active Inference]] - Domain integration
|
||||
- Knowledge Base: [[knowledge_base/cognitive/cross_domain_integration|Cross-domain Integration]], [[knowledge_base/systems/synthesis_methods|Synthesis Methods]]
|
||||
- Theory unification
|
||||
- Method integration
|
||||
- Application bridging
|
||||
- Framework synthesis
|
||||
|
||||
### Universal Principles
|
||||
- [[universal_active_inference|Universal Active Inference]] - Common foundations
|
||||
- Knowledge Base: [[knowledge_base/cognitive/universal_principles|Universal Principles]], [[knowledge_base/mathematics/foundational_theory|Foundational Theory]]
|
||||
- Core mathematics
|
||||
- Shared principles
|
||||
- Common patterns
|
||||
- Unified frameworks
|
||||
|
||||
## Implementation Frameworks
|
||||
|
||||
### Development Patterns
|
||||
- [[active_inference_patterns|Active Inference Patterns]] - Implementation patterns
|
||||
- Knowledge Base: [[knowledge_base/systems/design_patterns|Design Patterns]], [[knowledge_base/systems/implementation_patterns|Implementation Patterns]]
|
||||
- Architecture patterns
|
||||
- Code organization
|
||||
- Testing strategies
|
||||
- Documentation approaches
|
||||
|
||||
### Integration Tools
|
||||
- [[integration_frameworks|Integration Frameworks]] - Tool integration
|
||||
- Knowledge Base: [[knowledge_base/systems/integration_tools|Integration Tools]], [[knowledge_base/systems/framework_design|Framework Design]]
|
||||
- Framework connectors
|
||||
- API design
|
||||
- Data exchange
|
||||
- Service integration
|
||||
|
||||
### Validation Systems
|
||||
- [[validation_frameworks|Validation Frameworks]] - System validation
|
||||
- Knowledge Base: [[knowledge_base/systems/validation_frameworks|Validation Frameworks]], [[knowledge_base/systems/quality_assurance|Quality Assurance]]
|
||||
- Testing frameworks
|
||||
- Verification tools
|
||||
- Quality metrics
|
||||
- Performance analysis
|
||||
|
||||
## Research Extensions
|
||||
|
||||
### Theoretical Advances
|
||||
- [[theoretical_extensions|Theoretical Extensions]] - Theory development
|
||||
- Knowledge Base: [[knowledge_base/mathematics/theoretical_advances|Theoretical Advances]], [[knowledge_base/mathematics/mathematical_extensions|Mathematical Extensions]]
|
||||
- Mathematical extensions
|
||||
- Formal proofs
|
||||
- New formulations
|
||||
- Advanced concepts
|
||||
|
||||
### Empirical Studies
|
||||
- [[empirical_research|Empirical Research]] - Experimental validation
|
||||
- Knowledge Base: [[knowledge_base/systems/empirical_methods|Empirical Methods]], [[knowledge_base/systems/experimental_design|Experimental Design]]
|
||||
- Study design
|
||||
- Data collection
|
||||
- Analysis methods
|
||||
- Result validation
|
||||
|
||||
### Application Development
|
||||
- [[application_development|Application Development]] - Practical implementation
|
||||
- Knowledge Base: [[knowledge_base/systems/application_development|Application Development]], [[knowledge_base/systems/software_engineering|Software Engineering]]
|
||||
- System design
|
||||
- Code development
|
||||
- Testing strategies
|
||||
- Deployment methods
|
||||
|
||||
## Future Directions
|
||||
|
||||
### Emerging Technologies
|
||||
- [[emerging_technologies|Emerging Technologies]] - New developments
|
||||
- Knowledge Base: [[knowledge_base/systems/emerging_tech|Emerging Technologies]], [[knowledge_base/systems/technology_trends|Technology Trends]]
|
||||
- Novel approaches
|
||||
- Advanced tools
|
||||
- Future platforms
|
||||
- Innovation areas
|
||||
|
||||
### Research Frontiers
|
||||
- [[research_frontiers|Research Frontiers]] - Future research
|
||||
- Knowledge Base: [[knowledge_base/cognitive/research_frontiers|Research Frontiers]], [[knowledge_base/cognitive/future_directions|Future Directions]]
|
||||
- Open questions
|
||||
- New directions
|
||||
- Challenge areas
|
||||
- Research opportunities
|
||||
|
||||
### Development Roadmap
|
||||
- [[development_roadmap|Development Roadmap]] - Future development
|
||||
- Knowledge Base: [[knowledge_base/systems/development_roadmap|Development Roadmap]], [[knowledge_base/systems/project_planning|Project Planning]]
|
||||
- Feature planning
|
||||
- Release scheduling
|
||||
- Resource allocation
|
||||
- Progress tracking
|
||||
|
||||
## Community Engagement
|
||||
|
||||
### Collaboration Networks
|
||||
- [[collaboration_networks|Collaboration Networks]] - Research collaboration
|
||||
- Knowledge Base: [[knowledge_base/systems/collaboration_networks|Collaboration Networks]], [[knowledge_base/systems/research_communities|Research Communities]]
|
||||
- Academic partnerships
|
||||
- Industry connections
|
||||
- Research groups
|
||||
- Community projects
|
||||
|
||||
### Educational Resources
|
||||
- [[educational_resources|Educational Resources]] - Learning materials
|
||||
- Knowledge Base: [[knowledge_base/systems/educational_resources|Educational Resources]], [[knowledge_base/systems/learning_materials|Learning Materials]]
|
||||
- Course content
|
||||
- Tutorial systems
|
||||
- Practice exercises
|
||||
- Assessment tools
|
||||
|
||||
### Development Support
|
||||
- [[development_support|Development Support]] - Implementation help
|
||||
- Knowledge Base: [[knowledge_base/systems/development_support|Development Support]], [[knowledge_base/systems/technical_assistance|Technical Assistance]]
|
||||
- Code examples
|
||||
- Documentation
|
||||
- Best practices
|
||||
- Support channels
|
||||
|
||||
## Practical Applications
|
||||
|
||||
### Clinical Applications
|
||||
- [[clinical_active_inference|Clinical Active Inference]] - Medical applications
|
||||
- Knowledge Base: [[knowledge_base/cognitive/clinical_applications|Clinical Applications]], [[knowledge_base/systems/medical_systems|Medical Systems]]
|
||||
- Diagnostic systems
|
||||
- Treatment planning
|
||||
- Patient monitoring
|
||||
- Outcome prediction
|
||||
|
||||
### Industrial Applications
|
||||
- [[industrial_active_inference|Industrial Active Inference]] - Industry applications
|
||||
- Knowledge Base: [[knowledge_base/systems/industrial_applications|Industrial Applications]], [[knowledge_base/systems/manufacturing_systems|Manufacturing Systems]]
|
||||
- Process control
|
||||
- Quality assurance
|
||||
- Resource optimization
|
||||
- System monitoring
|
||||
|
||||
### Environmental Applications
|
||||
- [[environmental_active_inference|Environmental Active Inference]] - Environmental management
|
||||
- Knowledge Base: [[knowledge_base/systems/environmental_applications|Environmental Applications]], [[knowledge_base/systems/ecosystem_management|Ecosystem Management]]
|
||||
- Resource management
|
||||
- Climate adaptation
|
||||
- Ecosystem monitoring
|
||||
- Sustainability planning
|
||||
|
||||
## Implementation Details
|
||||
|
||||
### System Architecture
|
||||
- [[architecture_patterns|Architecture Patterns]] - System design
|
||||
- Knowledge Base: [[knowledge_base/systems/architecture_patterns|Architecture Patterns]], [[knowledge_base/systems/system_design|System Design]]
|
||||
- Component design
|
||||
- Interface patterns
|
||||
- Integration methods
|
||||
- Scaling strategies
|
||||
|
||||
### Performance Optimization
|
||||
- [[optimization_patterns|Optimization Patterns]] - Performance tuning
|
||||
- Knowledge Base: [[knowledge_base/systems/optimization_patterns|Optimization Patterns]], [[knowledge_base/systems/performance_tuning|Performance Tuning]]
|
||||
- Algorithm optimization
|
||||
- Resource management
|
||||
- Efficiency patterns
|
||||
- Scaling methods
|
||||
|
||||
### Security Implementation
|
||||
- [[security_patterns|Security Patterns]] - Security design
|
||||
- Knowledge Base: [[knowledge_base/systems/security_patterns|Security Patterns]], [[knowledge_base/systems/security_implementation|Security Implementation]]
|
||||
- Access control
|
||||
- Data protection
|
||||
- Threat mitigation
|
||||
- Security monitoring
|
||||
|
||||
## Quality Assurance
|
||||
|
||||
### Testing Frameworks
|
||||
- [[testing_frameworks|Testing Frameworks]] - Test implementation
|
||||
- Knowledge Base: [[knowledge_base/systems/testing_frameworks|Testing Frameworks]], [[knowledge_base/systems/test_automation|Test Automation]]
|
||||
- Unit testing
|
||||
- Integration testing
|
||||
- System testing
|
||||
- Performance testing
|
||||
|
||||
### Validation Methods
|
||||
- [[validation_methods|Validation Methods]] - System validation
|
||||
- Knowledge Base: [[knowledge_base/systems/validation_methods|Validation Methods]], [[knowledge_base/systems/verification_techniques|Verification Techniques]]
|
||||
- Requirements validation
|
||||
- Design validation
|
||||
- Implementation validation
|
||||
- Performance validation
|
||||
|
||||
### Quality Metrics
|
||||
- [[quality_metrics|Quality Metrics]] - Quality assessment
|
||||
- Knowledge Base: [[knowledge_base/systems/quality_metrics|Quality Metrics]], [[knowledge_base/systems/performance_metrics|Performance Metrics]]
|
||||
- Code quality
|
||||
- Performance metrics
|
||||
- Reliability measures
|
||||
- Security metrics
|
||||
|
||||
## Deployment and Operations
|
||||
|
||||
### Deployment Strategies
|
||||
- [[deployment_strategies|Deployment Strategies]] - System deployment
|
||||
- Knowledge Base: [[knowledge_base/systems/deployment_strategies|Deployment Strategies]], [[knowledge_base/systems/release_management|Release Management]]
|
||||
- Release planning
|
||||
- Deployment automation
|
||||
- Version control
|
||||
- Configuration management
|
||||
|
||||
### Operational Support
|
||||
- [[operational_support|Operational Support]] - System operations
|
||||
- Knowledge Base: [[knowledge_base/systems/operational_support|Operational Support]], [[knowledge_base/systems/maintenance_procedures|Maintenance Procedures]]
|
||||
- Monitoring systems
|
||||
- Issue resolution
|
||||
- Performance tuning
|
||||
- System maintenance
|
||||
|
||||
### Continuous Improvement
|
||||
- [[continuous_improvement|Continuous Improvement]] - System evolution
|
||||
- Knowledge Base: [[knowledge_base/systems/continuous_improvement|Continuous Improvement]], [[knowledge_base/systems/evolution_patterns|Evolution Patterns]]
|
||||
- Feature enhancement
|
||||
- Performance optimization
|
||||
- Security updates
|
||||
- Quality improvements
|
||||
|
||||
## Advanced Research Topics
|
||||
|
||||
### Theoretical Foundations
|
||||
- [[advanced_theory|Advanced Theory]] - Theoretical developments
|
||||
- Knowledge Base: [[knowledge_base/mathematics/advanced_theory|Advanced Theory]], [[knowledge_base/mathematics/theoretical_foundations|Theoretical Foundations]]
|
||||
- Mathematical extensions
|
||||
- Formal frameworks
|
||||
- Theoretical proofs
|
||||
- Conceptual advances
|
||||
|
||||
### Computational Methods
|
||||
- [[advanced_computation|Advanced Computation]] - Computational advances
|
||||
- Knowledge Base: [[knowledge_base/mathematics/advanced_computation|Advanced Computation]], [[knowledge_base/mathematics/computational_methods|Computational Methods]]
|
||||
- Algorithm development
|
||||
- Numerical methods
|
||||
- Optimization techniques
|
||||
- Parallel processing
|
||||
|
||||
### Integration Methods
|
||||
- [[advanced_integration|Advanced Integration]] - System integration
|
||||
- Knowledge Base: [[knowledge_base/systems/advanced_integration|Advanced Integration]], [[knowledge_base/systems/integration_methods|Integration Methods]]
|
||||
- Framework integration
|
||||
- System coupling
|
||||
- Data exchange
|
||||
- Service composition
|
||||
|
||||
## Future Research Directions
|
||||
|
||||
### Emerging Technologies
|
||||
- [[future_technologies|Future Technologies]] - Technology trends
|
||||
- Knowledge Base: [[knowledge_base/systems/future_technologies|Future Technologies]], [[knowledge_base/systems/technology_evolution|Technology Evolution]]
|
||||
- Novel architectures
|
||||
- Advanced algorithms
|
||||
- Emerging platforms
|
||||
- Future tools
|
||||
|
||||
### Research Challenges
|
||||
- [[research_challenges|Research Challenges]] - Open problems
|
||||
- Knowledge Base: [[knowledge_base/cognitive/research_challenges|Research Challenges]], [[knowledge_base/cognitive/open_problems|Open Problems]]
|
||||
- Theoretical gaps
|
||||
- Implementation issues
|
||||
- Scaling challenges
|
||||
- Integration problems
|
||||
|
||||
### Future Applications
|
||||
- [[future_applications|Future Applications]] - Application areas
|
||||
- Knowledge Base: [[knowledge_base/systems/future_applications|Future Applications]], [[knowledge_base/systems/application_domains|Application Domains]]
|
||||
- Novel domains
|
||||
- Emerging fields
|
||||
- Future needs
|
||||
- Potential impacts
|
||||
|
||||
## Development Roadmap
|
||||
|
||||
### Short-term Goals
|
||||
- [[short_term_goals|Short-term Goals]] - Immediate objectives
|
||||
- Knowledge Base: [[knowledge_base/systems/development_goals|Development Goals]], [[knowledge_base/systems/project_planning|Project Planning]]
|
||||
- Feature development
|
||||
- Bug fixes
|
||||
- Performance improvements
|
||||
- Documentation updates
|
||||
|
||||
### Medium-term Goals
|
||||
- [[medium_term_goals|Medium-term Goals]] - Intermediate objectives
|
||||
- Knowledge Base: [[knowledge_base/systems/roadmap_planning|Roadmap Planning]], [[knowledge_base/systems/strategic_planning|Strategic Planning]]
|
||||
- System enhancements
|
||||
- Architecture improvements
|
||||
- Tool development
|
||||
- Integration expansion
|
||||
|
||||
### Long-term Vision
|
||||
- [[long_term_vision|Long-term Vision]] - Future vision
|
||||
- Knowledge Base: [[knowledge_base/systems/future_vision|Future Vision]], [[knowledge_base/systems/strategic_vision|Strategic Vision]]
|
||||
- Framework evolution
|
||||
- Platform expansion
|
||||
- Community growth
|
||||
- Impact goals
|
||||
|
||||
## Community Development
|
||||
|
||||
### Educational Programs
|
||||
- [[educational_programs|Educational Programs]] - Learning initiatives
|
||||
- Knowledge Base: [[knowledge_base/systems/educational_programs|Educational Programs]], [[knowledge_base/systems/learning_initiatives|Learning Initiatives]]
|
||||
- Course development
|
||||
- Tutorial creation
|
||||
- Workshop organization
|
||||
- Training materials
|
||||
|
||||
### Research Community
|
||||
- [[research_community|Research Community]] - Academic engagement
|
||||
- Knowledge Base: [[knowledge_base/systems/research_community|Research Community]], [[knowledge_base/systems/academic_networks|Academic Networks]]
|
||||
- Conference organization
|
||||
- Publication support
|
||||
- Research collaboration
|
||||
- Knowledge sharing
|
||||
|
||||
### Industry Engagement
|
||||
- [[industry_engagement|Industry Engagement]] - Industry collaboration
|
||||
- Knowledge Base: [[knowledge_base/systems/industry_engagement|Industry Engagement]], [[knowledge_base/systems/commercial_applications|Commercial Applications]]
|
||||
- Partnership development
|
||||
- Technology transfer
|
||||
- Application support
|
||||
- Commercial adoption
|
||||
|
||||
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