Theo
Architecture
Philosophy and Methodological Assumptions
Description of the Architecture
Agent Properties
Impasse-Drive Control
Symbolic World Model
Size of the Knowledge Base
Glass Box Approach
Global representation and Uniform Access to Knowledge
Efficiency of Knowledge Access
Representational Consistency
Uniform Knowledge Representation
Meta-Knowledge
Frame-like Representation
Reflexive Learning
Monotonic Learning
Reflexive Response
Sensing Strategies
Negative Interaction among Learning Mechanisms
List of Agent Properties for All Architectures
Capabilities
Multi-Method Learning
Caching
Explantion-Based Learning
Inductive Inference
Planning
Support for Multiple, Simultaneous Goals
Self-Reflection
Meta-Reasoning
Query Answering and Explanation for Decisions
Prediction
Navigation
Perception
Robotic Tasks
Focused Behavior and Processing
List of Capabilities for All Architectures
Environmental Considerations
Dynamic Environments
Limited Resources
Environmental Consistency
Complex Environments
Knowledge Rich Environments
List of Environmental Considerations for All Architectures
Issues
References
Table of Contents
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