Entropy Reduction Engine Architecture
Architecture
Philosophy and Methodological Assumptions
Description of the Architecture
ERE Modules
Reductor
Projector
Reactor
ERE Knowledge Types
Problem-Reduction Rules
Causal Theory/Domain Constraints
System Goals/Behavioral Constraints
Situation Control Rules
Agent Properties
Style of Control
Asynchronous Processing
Closed-Loop Processing
Modular Organization
Symbolic World Model/Global State
Knowledge (World Model) Consistency
Declarative Representations
Procedural Representations
Global Representation and Uniform Access to Knowledge
Heterogeneous Knowledge Representation
Deliberative Learning
Non-monotonic Learning
Behavior
Coherence
Reflexive Response to Stimuli (Reactive Response)
Sensing Strategies and Attention
List of Agent Properties for All Architectures
Capabilities
Multi-Method Learning
Inductive Learning
Explantion-Based Learning
Planning and Situated Action
Problem Solving
Prediction
Real-Time (Anytime) Execution
The Associate Principal Astronomer
List of Capabilities for All Architectures
Environmental Considerations
Dynamic Environments
Unpredictability and Uncertainty
Limited Response Time
Forgiving
Probabilistic Independence
List of Environmental Considerations for All Architectures
Issues
References
Table of Contents
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