Universal subgoaling and chunking: the automatic generation and learning of goal hierarchies
Universal subgoaling and chunking: the automatic generation and learning of goal hierarchies
Formal theories of knowledge in AI and robotics
New Generation Computing
SOAR: an architecture for general intelligence
Artificial Intelligence
Case-based planning: viewing planning as a memory task
Case-based planning: viewing planning as a memory task
Correcting and extending domain knowledge using outside guidance
Proceedings of the seventh international conference (1990) on Machine learning
Proceedings of the sixth international workshop on Machine learning
Proceedings of the first international conference on Principles of knowledge representation and reasoning
Abstraction in problem solving and learning
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 1
Eliminating expensive chunks by restricting expressiveness
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 1
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Three key components of an autonomous intelligent system are planning, execution, and learning. This paper describes how the Soar architecture supports planning, execution, and learning in unpredictable and dynamic environments. The tight integration of these components provides reactive execution, hierarchical execution, interruption, on demand planning, and the conversion of deliberate planning to reaction. These capabilities are demonstrated on two robotic systems controlled by Soar, one using a Puma robot arm and an overhead camera, the second using a small mobile robot with an arm.