Explanation-based learning: a problem solving perspective
Artificial Intelligence
Concept formation in structured domains
Concept formation knowledge and experience in unsupervised learning
The simulation of verbal learning behavior
Computers & thought
The Architecture of Cognition
Chunking in Soar: The Anatomy of a General Learning Mechanism
Machine Learning
Knowledge Acquisition Via Incremental Conceptual Clustering
Machine Learning
A model of retrieval in problem-solving
A model of retrieval in problem-solving
An experimental study of concept formation
An experimental study of concept formation
Human Problem Solving
An Architecture for Persistent Reactive Behavior
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 2
Rule-based distributed and agent systems
RuleML'2011 Proceedings of the 5th international conference on Rule-based reasoning, programming, and applications
Information Sciences: an International Journal
Robotics software frameworks for multi-agent robotic systems development
Robotics and Autonomous Systems
Acquisition of hierarchical reactive skills in a unified cognitive architecture
Cognitive Systems Research
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We describe our designs for ICARUS, an integrated architecture for controlling an intelligent agent in a complex physical environment. By navigating between locations and manipulating other objects, the agent influences the world and achieves its goals. The architecture includes components for perceiving the environment, for generating plans to solve problems, and for executing the plans generated. A fourth component manages the agent's long-term memory. Our assessment of the design suggests that it is general, versatile, scales well to larger problems, and is consistent with a variety of psychological results.