Overview
- Combines in a novel way logic, natural language semantics, philosophy of mind and language with theoretical computer science and cognitive science
- Provides experimental evidence linking computational complexity with cognitive difficulty
- Contains extensive philosophical and methodological discussion of the natural language expressivity borders
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Linguistics and Philosophy (SLAP, volume 96)
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Table of contents (12 chapters)
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Procedural Semantics
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Simple Quantifiers
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Complex Quantifiers
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Collective Quantifiers
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Perspectives and Conclusions
Keywords
About this book
Quantifier expressions occur whenever we describe the world and communicate about it. Generalized quantifier theory is therefore one of the basic tools of linguistics today, studying the possible meanings and the inferential power of quantifier expressions by logical means. The classic version was developed in the 1980s, at the interface of linguistics, mathematics and philosophy. Before this volume, advances in "classic" generalized quantifier theory mainly focused on logical questions and their applications to linguistics, this volume adds a computational component, the third pillar of language use and logical activity. This book is essential reading for researchers in linguistics, philosophy, cognitive science, logic, AI, and computer science.
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Authors and Affiliations
Bibliographic Information
Book Title: Quantifiers and Cognition: Logical and Computational Perspectives
Authors: Jakub Szymanik
Series Title: Studies in Linguistics and Philosophy
DOI: https://doi.org/10.1007/978-3-319-28749-2
Publisher: Springer Cham
eBook Packages: Social Sciences, Social Sciences (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-28747-8Published: 09 March 2016
Softcover ISBN: 978-3-319-80414-9Published: 07 April 2018
eBook ISBN: 978-3-319-28749-2Published: 19 February 2016
Series ISSN: 0924-4662
Series E-ISSN: 2215-034X
Edition Number: 1
Number of Pages: XIV, 211
Number of Illustrations: 49 b/w illustrations
Topics: Semantics, Natural Language Processing (NLP), Logic, Mathematical Models of Cognitive Processes and Neural Networks