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  1. Proving theorems by reuse.Christoph Walther & Thomas Kolbe - 2000 - Artificial Intelligence 116 (1-2):17-66.
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  • Learning in mathematically-based domains: Understanding and generalizing obstacle cancellations.Jude W. Shavlik & Gerald F. DeJong - 1990 - Artificial Intelligence 45 (1-2):1-45.
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  • Design by derivational analogy:Issues in the automated replay of design plans.Jack Mostow - 1989 - Artificial Intelligence 40 (1-3):119-184.
  • Computational approaches to analogical reasoning.Rogers P. Hall - 1989 - Artificial Intelligence 39 (1):39-120.
  • Resources for Research on Analogy: A Multi-disciplinary Guide.Marcello Guarini, Amy Butchart, Paul Simard Smith & Andrei Moldovan - 2009 - Informal Logic 29 (2):84-197.
    Work on analogy has been done from a number of disciplinary perspectives throughout the history of Western thought. This work is a multidisciplinary guide to theorizing about analogy. It contains 1,406 references, primarily to journal articles and monographs, and primarily to English language material. classical through to contemporary sources are included. The work is classified into eight different sections (with a number of subsections). A brief introduction to each section is provided. Keywords and key expressions of importance to research on (...)
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  • Learning by understanding analogies.Russell Greiner - 1988 - Artificial Intelligence 35 (1):81-125.
  • The structure-mapping engine: Algorithm and examples.Brian Falkenhainer, Kenneth D. Forbus & Dedre Gentner - 1989 - Artificial Intelligence 41 (1):1-63.
  • Selection type theories.Lindley Darden & Joseph A. Cain - 1989 - Philosophy of Science 56 (1):106-129.
    Selection type theories solve adaptation problems. Natural selection, clonal selection for antibody production, and selective theories of higher brain function are examples. An abstract characterization of typical selection processes is generated by analyzing and extending previous work on the nature of natural selection. Once constructed, this abstraction provides a useful tool for analyzing the nature of other selection theories and may be of use in new instances of theory construction. This suggests the potential fruitfulness of research to find other theory (...)
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  • A New Mechanism for Transfer Between Conceptual Domains in Scientific Discovery and Education.Gérard Collet, Andrée Tiberghien & Antoine Cornuéjols - 2000 - Foundations of Science 5 (2):129-155.
    Confronted with problems or situations that do not yield toknown theories and world views, scientists and students are alike. Theyare rarely able to directly build a model or a theory thereof. Rather,they must find ways to make sense of the circumstances using theircurrent knowledge and adjusting what is recognized in the process. Thisway of thinking, using past ways of perceiving the physical world tobuild new ones does not follow a logical path and cannot be described astheory revision. Likewise, in many (...)
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  • Validities: A political science perspective.Francis A. Beer - 1993 - Social Epistemology 7 (1):85 – 105.
  • A Logical Approach to Reasoning by Analogy.Todd R. Davies & Stuart J. Russell - 1987 - In John P. McDermott (ed.), Proceedings of the 10th International Joint Conference on Artificial Intelligence (IJCAI'87). Morgan Kaufmann Publishers. pp. 264-270.
    We analyze the logical form of the domain knowledge that grounds analogical inferences and generalizations from a single instance. The form of the assumptions which justify analogies is given schematically as the "determination rule", so called because it expresses the relation of one set of variables determining the values of another set. The determination relation is a logical generalization of the different types of dependency relations defined in database theory. Specifically, we define determination as a relation between schemata of first (...)
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