Daniel Ari Friedman a61f13a26f Updates
2025-02-07 11:08:25 -08:00

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Cognitive Concepts Index index stable 2024-02-07
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Cognitive Concepts Index

Theoretical Foundations

Active Inference

Predictive Processing

Information Theory

Implementation Concepts

Agent Architecture

Learning Mechanisms

System Integration

Advanced Concepts

Hierarchical Processing

Multi-Agent Systems

Complex Systems

Mathematical Foundations

Probability Theory

Optimization

Dynamical Systems

Implementation Examples

Basic Examples

# Basic active inference agent
class ActiveInferenceAgent:
    def __init__(self):
        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)
        
        # Select action using expected free energy
        action = select_action(self.beliefs)
        return action

Advanced Examples

# Hierarchical active inference
class HierarchicalAgent:
    def __init__(self, levels):
        self.levels = [
            ActiveInferenceAgent() 
            for _ in range(levels)
        ]
        
    def update(self, observation):
        # Bottom-up message passing
        for level in self.levels:
            prediction = level.predict()
            observation = level.update(observation)
            
        # Top-down action selection
        action = self.levels[-1].select_action()
        return action

Documentation

Knowledge Base

Learning Resources