Titlebook: Analogical and Inductive Inference; International Worksh Klaus P. Jantke Conference proceedings 1989 Springer-Verlag Berlin Heidelberg 1989

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Differential Equations and Dynamical Systemstances of the hypothesis to be learned, but rather instances of a . (i.e., a typical member of the extension) of the hypothesis to be learned. The paradigm is introduced by means of an example problem from the field of conceptual modeling. We analyse the reasons why a naive solution to that problem

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Three-dimensional inverse scattering,a proof. An interesting proposal in this direction is Alan Bundy‘s approach of using explicit proof plans that encapsulate the general form of a proof and is instantiated into a particular proof for the case at hand. We give some examples that show how a “declarative” highlevel description of a proo

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Patricia Anderson,Stephen R. Bernfelder understanding of analogical reasoning as well as its relationship to existing logical models of nonmonotonic reasoning..We begin with a brief description of a hypothetical reasoning system called Theorist. Theorist is a nonmonotonic clausal theorem prover that permits consistent instances of hypo

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P. Avudai Selvi,Ramanujam Narasimhanm the practical as well as the theoretical point of view..Instead of this strategy we propose a formalization of analogical reasoning, which leads for second order expert systems to a case oriented strategy. In some areas of artificial intelligence certain approaches to the formalization of analogy

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P. Astuti,M. Corless,D. Williamsonls which are as representation independent as possible. We review this development and discuss the advantages of representation independence. Motivated by the research in learning, we propose a framework for studying the combinatorial properties of representations.

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