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docs/guides/learning_paths/active_inference_agi_learning_path.md

@@ -0,0 +1,249 @@
+---
+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]] 

docs/guides/learning_paths/active_inference_biological_learning_path.md

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+---
+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]] 

docs/guides/learning_paths/active_inference_economic_learning_path.md

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+---
+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]] 

docs/guides/learning_paths/active_inference_quantum_learning_path.md

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+---
+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]] 

docs/guides/learning_paths/active_inference_security_learning_path.md

@@ -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]] 

docs/guides/learning_paths/active_inference_social_learning_path.md

@@ -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]] 

docs/guides/learning_paths/catalog_of_learning_paths.md

@@ -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