Abstract
Analogical reasoning is critical in problem solving and is fundamental in learning and cognitive development, because analogy is a key factor in hypothesis formation, explanation, and the definition of abstract concepts [1,2,4]. Many analogy theories have been proposed to solve the problem A:B::C:X. Given that A is related to B as C is related to some X, find that X. For example, car:engine::gear:tooth.
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I.I. Bejar, R. Chaffin, S. Embretson, Cognitive and Psychometric analysis of analogical problem solving, Springer-Verlag, 1991.
R. Chaffin and D. Herrmann, “Relation Element Theory: a New Account of the Representation and Processing of Semantic Relations”, Memory and Learning: The Ebbinghaus Centennial Conf., 1987, pp. 221 - 245.
D. Gentner, “Structure-Mapping: a Theoretical Framework for Analogy”, Cognitive Science, vol. 7, no. 2, 1983, pp. 155 - 170.
D. Heiman, ed., Analogical Reasoning, Kluwer Academic Publishers, 1988.
C.-H. Lung and J.E. Urban, “An Expanded View of Domain Modeling for Software Analogy”, Proc. of Int’l Computer Software & Applications Conf, 1995, pp. 77 - 82.
N.A.M. Maiden and A.G. Sutcliffe, “Requirements Engineering by Example: an Empirical Study”, Proc. of IEEE Int’l Symp. on Regt. Eng., 1993, pp. 104 - 111.
A.L. Opdahl, et al. “Ontological Analysis of Whole-Part Relationships in OO-Models”, Info and Software Technology, 43, 2001, pp. 387–399.
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© 2002 IFIP International Federation for Information Processing
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Lung, CH., Mackulak, G.T., Urban, J.E. (2002). Analogy Supports for Software Reuse and Knowledge Management. In: Musen, M.A., Neumann, B., Studer, R. (eds) Intelligent Information Processing. IIP 2002. IFIP — The International Federation for Information Processing, vol 93. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-35602-0_26
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DOI: https://doi.org/10.1007/978-0-387-35602-0_26
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