Overview
- Recent research on Computational Approaches to Analogical Reasoning
- Presents current trends on analogical reasoning
- Written by leading experts in the field
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Computational Intelligence (SCI, volume 548)
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About this book
Analogical reasoning is known as a powerful mode for drawing plausible conclusions and solving problems. It has been the topic of a huge number of works by philosophers, anthropologists, linguists, psychologists, and computer scientists. As such, it has been early studied in artificial intelligence, with a particular renewal of interest in the last decade.
The present volume provides a structured view of current research trends on computational approaches to analogical reasoning. It starts with an overview of the field, with an extensive bibliography.
The 14 collected contributions cover a large scope of issues. First, the use of analogical proportions and analogies is explained and discussed in various natural language processing problems, as well as in automated deduction. Then, different formal frameworks for handling analogies are presented, dealing with case-based reasoning, heuristic-driven theory projection, commonsense reasoning about incomplete rule bases, logical proportions induced by similarity and dissimilarity indicators, and analogical proportions in lattice structures. Lastly, the volume reports case studies and discussions about the use of similarity judgments and the process of analogy making, at work in IQ tests, creativity or other cognitive tasks.
This volume gathers fully revised and expanded versions of papers presented at an international workshop‚ as well as invited contributions. All chapters have benefited of a thorough peer review process.
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Keywords
Table of contents (15 chapters)
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Analogy in Action
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Modeling Analogy
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From Cognition to Computational Experiments
Editors and Affiliations
Bibliographic Information
Book Title: Computational Approaches to Analogical Reasoning: Current Trends
Editors: Henri Prade, Gilles Richard
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-642-54516-0
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2014
Hardcover ISBN: 978-3-642-54515-3Published: 03 April 2014
Softcover ISBN: 978-3-662-52364-3Published: 03 September 2016
eBook ISBN: 978-3-642-54516-0Published: 22 March 2014
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: X, 395
Number of Illustrations: 87 b/w illustrations, 18 illustrations in colour