Reasoning with Concepts : Conceptual Spaces as a Framework
Book Details
Format
Paperback / Softback
ISBN-10
0262053403
ISBN-13
9780262053402
Publisher
MIT Press Ltd
Imprint
MIT Press
Country of Manufacture
GB
Country of Publication
GB
Publication Date
May 26th, 2026
Print length
240 Pages
Weight
369 grams
Product Classification:
Psychology
Ksh 10,250.00
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A unified treatment of different types of reasoning with concepts, such as category-based induction, nonmonotonic reasoning, analogies, and generics.
Psychologists and philosophers have worked on topics such as category-based induction, nonmonotonic reasoning, analogies, and generics, but these problems have largely been investigated independently. In Reasoning with Concepts, Peter Gärdenfors and Matías Osta-Vélez bring them all together by presenting models built on the theory of conceptual spaces. This theory offers a rich framework for modeling many aspects of the structure of concepts. In particular, it allows the definition of measures for similarity, typicality, diagnosticity, and coherence of concepts, notions long employed informally by psychologists and philosophers.
While probabilistic models exist for some of these notions, no comprehensive formal framework has previously encompassed them all. The proposed measures here, based on distances in conceptual space and prototypes, generate novel testable predictions while unifying previously disparate theoretical territories. Furthermore, the models can be implemented in artificial systems that deal with different forms of reasoning.
Psychologists and philosophers have worked on topics such as category-based induction, nonmonotonic reasoning, analogies, and generics, but these problems have largely been investigated independently. In Reasoning with Concepts, Peter Gärdenfors and Matías Osta-Vélez bring them all together by presenting models built on the theory of conceptual spaces. This theory offers a rich framework for modeling many aspects of the structure of concepts. In particular, it allows the definition of measures for similarity, typicality, diagnosticity, and coherence of concepts, notions long employed informally by psychologists and philosophers.
While probabilistic models exist for some of these notions, no comprehensive formal framework has previously encompassed them all. The proposed measures here, based on distances in conceptual space and prototypes, generate novel testable predictions while unifying previously disparate theoretical territories. Furthermore, the models can be implemented in artificial systems that deal with different forms of reasoning.
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