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  1. Learning to Program in LISP1.John R. Anderson, Robert Farrell & Ron Sauers - 1984 - Cognitive Science 8 (2):87-129.
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  • Structure‐Mapping: A Theoretical Framework for Analogy.Dedre Gentner - 1983 - Cognitive Science 7 (2):155-170.
    A theory of analogy must describe how the meaning of an analogy is derived from the meanings of its parts. In the structure‐mapping theory, the interpretation rules are characterized as implicit rules for mapping knowledge about a base domain into a target domain. Two important features of the theory are (a) the rules depend only on syntactic properties of the knowledge representation, and not on the specific content of the domains; and (b) the theoretical framework allows analogies to be distinguished (...)
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  • A theory and methodology of inductive learning.Ryszard S. Michalski - 1983 - Artificial Intelligence 20 (2):111-161.
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  • Generalization as search.Tom M. Mitchell - 1982 - Artificial Intelligence 18 (2):203-226.
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  • Conceptual clustering of structured objects: A goal-oriented approach.Robert E. Stepp & Ryszard S. Michalski - 1986 - Artificial Intelligence 28 (1):43-69.
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  • Learning by understanding analogies.Russell Greiner - 1988 - Artificial Intelligence 35 (1):81-125.
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  • The structure-mapping engine: Algorithm and examples.Brian Falkenhainer, Kenneth D. Forbus & Dedre Gentner - 1989 - Artificial Intelligence 41 (1):1-63.
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  • Learning by creatifying transfer frames.Patrick H. Winston - 1978 - Artificial Intelligence 10 (2):147-172.
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  • Learning new principles from precedents and exercises.Patrick H. Winston - 1982 - Artificial Intelligence 19 (3):321-350.
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  • Maintaining Organization in a Dynamic Long‐Term Memory.Janet L. Kolodner - 1983 - Cognitive Science 7 (4):243-280.
    As new unanticipated items are added to a memory, it must be able to reorganize itself, integrating the new items into its structure. The reorganization process must maintain the memory's structure and also build up the knowledge retrieval strategies need to search that structure. This study will present an algorithm for knowledge‐based memory reorganization. Included in that algorithm are processes for directed generalization and generalization refinement. A fact retrieval system called CYRUS which uses the algorithm is also presented. Conclusions are (...)
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  • SOAR: An architecture for general intelligence.John E. Laird, Allen Newell & Paul S. Rosenbloom - 1987 - Artificial Intelligence 33 (1):1-64.
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  • Reconstructive Memory: A Computer Model.Janet L. Kolodner - 1983 - Cognitive Science 7 (4):281-328.
    This study presents a process model of very long‐term episodic memory. The process presented is a reconstructive process. The process involves application of three kinds of reconstructive strategies—component‐to‐context instantiation strategies, component‐instantiation strategies, and context‐to‐context instantiation strategies. The first is used to direct search to appropriate conceptual categories in memory. The other two are used to direct search within the chosen conceptual category. A fourth type of strategy, called executive search strategies, guide search for concepts related to the one targeted for (...)
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  • Strategies in heuristic search.M. P. Georgeff - 1983 - Artificial Intelligence 20 (4):393-425.
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  • Observed Methods for Generating Analogies in Scientific Problem Solving.John Clement - 1988 - Cognitive Science 12 (4):563-586.
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  • A paradigm for reasoning by analogy.Robert E. Kling - 1971 - Artificial Intelligence 2 (2):147-178.
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