---
title: Examples Index
type: index
status: stable
created: 2024-02-07
tags:
  - examples
  - implementation
  - index
semantic_relations:
  - type: organizes
    links:
      - [[implementation_examples]]
      - [[usage_examples]]
---

# Examples Index

## Core Examples

### Active Inference Examples
- [[examples/active_inference/basic|Basic Active Inference]]
- [[examples/active_inference/hierarchical|Hierarchical Active Inference]]
- [[examples/active_inference/multi_agent|Multi-Agent Active Inference]]

### POMDP Examples
- [[examples/pomdp/basic|Basic POMDP]]
- [[examples/pomdp/belief_updating|Belief Updating]]
- [[examples/pomdp/policy_selection|Policy Selection]]

### Swarm Intelligence Examples
- [[examples/swarm/ant_colony|Ant Colony Simulation]]
- [[examples/swarm/particle_swarm|Particle Swarm]]
- [[examples/swarm/flocking|Flocking Behavior]]

## Implementation Examples

### Agent Implementation
```python
# Basic active inference agent
class ActiveInferenceAgent:
    def __init__(self, config):
        self.beliefs = initialize_beliefs()
        self.model = create_generative_model()
        
    def update(self, observation):
        # Update beliefs using variational inference
        self.beliefs = update_beliefs(
            self.beliefs, observation, self.model
        )
        
        # Select action using expected free energy
        action = select_action(self.beliefs, self.model)
        return action
```

### Environment Implementation
```python
# Basic environment setup
class Environment:
    def __init__(self, config):
        self.state = initialize_state()
        self.agents = create_agents()
        
    def step(self, actions):
        # Update environment state
        self.state = update_state(self.state, actions)
        
        # Generate observations
        observations = generate_observations(self.state)
        return observations
```

### Simulation Implementation
```python
# Basic simulation loop
def run_simulation(config):
    env = Environment(config)
    agent = ActiveInferenceAgent(config)
    
    for step in range(config.max_steps):
        # Agent-environment interaction
        observation = env.get_observation()
        action = agent.update(observation)
        env.step(action)
```

## Advanced Examples

### Hierarchical Systems
- [[examples/hierarchical/perception|Hierarchical Perception]]
- [[examples/hierarchical/control|Hierarchical Control]]
- [[examples/hierarchical/learning|Hierarchical Learning]]

### Multi-Agent Systems
- [[examples/multi_agent/coordination|Agent Coordination]]
- [[examples/multi_agent/communication|Agent Communication]]
- [[examples/multi_agent/learning|Collective Learning]]

### Complex Systems
- [[examples/complex/emergence|Emergence Patterns]]
- [[examples/complex/adaptation|System Adaptation]]
- [[examples/complex/evolution|System Evolution]]

## Application Examples

### Robotics Applications
- [[examples/robotics/control|Robot Control]]
- [[examples/robotics/navigation|Robot Navigation]]
- [[examples/robotics/manipulation|Robot Manipulation]]

### Cognitive Applications
- [[examples/cognitive/learning|Learning Systems]]
- [[examples/cognitive/memory|Memory Systems]]
- [[examples/cognitive/attention|Attention Systems]]

### Biological Applications
- [[examples/biological/neural|Neural Systems]]
- [[examples/biological/collective|Collective Behavior]]
- [[examples/biological/adaptation|Adaptive Behavior]]

## Integration Examples

### Framework Integration
- [[examples/integration/pytorch|PyTorch Integration]]
- [[examples/integration/tensorflow|TensorFlow Integration]]
- [[examples/integration/jax|JAX Integration]]

### Tool Integration
- [[examples/tools/visualization|Visualization Tools]]
- [[examples/tools/analysis|Analysis Tools]]
- [[examples/tools/profiling|Profiling Tools]]

### System Integration
- [[examples/systems/environment|Environment Integration]]
- [[examples/systems/hardware|Hardware Integration]]
- [[examples/systems/distributed|Distributed Systems]]

## Testing Examples

### Unit Tests
```python
def test_belief_updating():
    """Test belief updating mechanism."""
    agent = setup_test_agent()
    observation = generate_test_observation()
    
    initial_beliefs = agent.beliefs.copy()
    agent.update(observation)
    
    assert not np.allclose(agent.beliefs, initial_beliefs)
    assert is_normalized(agent.beliefs)
```

### Integration Tests
```python
def test_agent_environment():
    """Test agent-environment interaction."""
    env = setup_test_environment()
    agent = setup_test_agent()
    
    observation = env.reset()
    for _ in range(100):
        action = agent.update(observation)
        observation, reward, done = env.step(action)
        if done:
            break
```

### Performance Tests
```python
def test_performance():
    """Test system performance."""
    env = setup_benchmark_environment()
    agent = setup_benchmark_agent()
    
    start_time = time.time()
    run_benchmark(env, agent)
    end_time = time.time()
    
    assert end_time - start_time < MAX_TIME
```

## Related Resources

### Documentation
- [[docs/guides/implementation_guides|Implementation Guides]]
- [[docs/api/implementation_api|Implementation API]]
- [[docs/research/implementation_research|Implementation Research]]

### Knowledge Base
- [[knowledge_base/cognitive/implementation_concepts|Implementation Concepts]]
- [[knowledge_base/mathematics/implementation_math|Implementation Mathematics]]
- [[knowledge_base/agents/implementation_patterns|Implementation Patterns]]

### Learning Resources
- [[learning_paths/implementation|Implementation Learning Path]]
- [[tutorials/implementation|Implementation Tutorials]]
- [[guides/implementation/best_practices|Implementation Best Practices]]