Synopsis
Automated reasoning is a central concern of artificial intelligence. Stephen Owen is concerned with automated analogical reasoning. This book outlines how analogies can be exploited for a verifiable purpose--to solve new problems. The aim is to provide an understanding of analogy as a phenomenon for artificial intelligence and consequently to use analogy for building better problem solvers.
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Review
At last we have a basis for the empirical study of analogical reasoning. Owen has shown us how to test the properties of analogy finding matchers and plan appliers on a body of independent data. His modular matcher and plan applier enable us to formulate and test different hypotheses about the mechanisms of analogical reasoning. I believe this book will represent a major milestone in the computational investigation of analogical reasoning and become required reading for the new generation of researchers that it will inspire.
--PROFESSOR ALAN BUNDY, UNIVERSITY OF EDINBURGH
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