Analogy has been the focus of extensive research in cognitive
science over the past two decades. Through analogy, novel
situations and problems can be understood in terms of familiar
ones. Indeed, a case can be made for analogical processing as the
very core of cognition. This is the first book to span the full
range of disciplines concerned with analogy. Its contributors
represent cognitive, developmental, and comparative psychology;
neuroscience; artificial intelligence; linguistics; and
philosophy.
The book is divided into three parts. The first part describes
computational models of analogy as well as their relation to
computational models of other cognitive processes. The second part
addresses the role of analogy in a wide range of cognitive tasks,
such as forming complex cognitive structures, conveying emotion,
making decisions, and solving problems. The third part looks at the
development of analogy in children and the possible use of analogy
in nonhuman primates.
Contributors: Miriam Bassok, Consuelo B. Boronat, Brian Bowdle,
Fintan Costello, Kevin Dunbar, Gilles Fauconnier, Kenneth D.
Forbus, Dedre Gentner, Usha Goswami, Brett Gray, Graeme S. Halford,
Douglas Hofstadter, Keith J. Holyoak, John E. Hummel, Mark T.
Keane, Boicho N. Kokinov, Arthur B. Markman, C. Page Moreau, David
L. Oden, Alexander A. Petrov, Steven Phillips, David Premack,
Cameron Shelley, Paul Thagard, Roger K.R. Thompson, William H.
Wilson, Phillip Wolff.
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