Belief Model
The Belief Model represents how FAITH agents form and update their internal models of the world.
Overview
The belief system is the core of the agent’s “mind” - it maintains a probabilistic model of the world state, including:
- What objects and agents exist in the environment
- Their properties and relationships
- Causal relationships between actions and outcomes
- Predictions about how the world will change
Components
Belief Router
The Belief Router determines which level of processing is needed for incoming perceptual information:
- Simple updates may be handled by local, lightweight models
- Complex reasoning may be routed to more powerful cloud-based LLMs
Belief LLM Processing
Two tiers of language models support belief updating:
- Local LLM: Handles routine belief updates with minimal latency
- Cloud LLM: Provides deeper reasoning for complex situations
Agent Belief System
The central belief repository that maintains:
- Current world model
- Uncertainty estimates
- Memory of past states and events
- Predictions about future states
Free Energy Principle in Action
The Belief Model implements the core of the Free Energy Principle by:
- Maintaining prior beliefs about the world
- Updating these beliefs based on new evidence (perception)
- Minimizing the difference between predicted and actual sensory inputs
- Adjusting confidence levels based on prediction accuracy
Implementation Considerations
- Efficient belief representation for real-time processing
- Graceful degradation when cloud services are unavailable
- Balancing belief update frequency with computational resources