Chunking in SOAR: The Anatomy of a General Learning Mechanism.
Technical rept. 1 Jan 82-15 Jun 85,
XEROX PALO ALTO RESEARCH CENTER CA INTELLIGENT SYSTEMS LAB
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In this article we describe an approach to the construction of a general learning mechanism based on chunking in SOAR. chunking is a learning mechanism that acquires rules from goal-based experience. SOAR is a general problem-solving architecture with a rule-based memory. In previous work we have demonstrated how the combination of chunking and SOAR could acquire serch-control knowledge strategy acquisition and operator implementation rules in both search-based puzzle tasks and knowledge-based expert-system tasks. In this work we examine the anatomy of chunking in SOAR and provide a new demonstration of its learning capabilities involving the acquisition and use of macro-operators. Keywords Machine Learning, chunking.
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