Mapping Explanation-Based Generalization onto Soar
STANFORD UNIV CA DEPT OF COMPUTER SCIENCE
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Explanation-based generalization EBG is a powerful approach to concept formation in which a justifiable concept definition is acquired from a single training example and an underlying theory of how the example is an instance of the concept. Soar is an attempt to build a general cognitive architecture combining general learning, problem solving, and memory capabilities. It includes an independently developed learning mechanism, called chunking, that is similar to but not the same as explanation-based generalization. In this article we clarify the relationship between the explanation-based generalization framework and the Soarchunking combination by showing how the EBG framework maps onto Soar, how several EBG concept-formation tasks are implemented in Soar, and how several EBG concept-formation tasks are implemented in Soar, and how the Soar approach suggests answers to some of the outstanding issues in explanation-based generalization.
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