Overview
- Explains the central concept of Blended Cognition
- Connects a variety of disciplines
- Includes authoritative contributions from different academic fields
Part of the book series: Springer Series in Cognitive and Neural Systems (SSCNS, volume 12)
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Table of contents (11 chapters)
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Front Matter
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Philosophy
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Front Matter
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Logics
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Front Matter
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Back Matter
Keywords
About this book
This edited volume is about how unprejudiced approaches to real human cognition can improve the design of AI. It covers many aspects of human cognition and across 12 chapters the reader can explore multiple approaches about the complexities of human cognitive skills and reasoning, always guided by experts from different but complimentary academic fields.
A central concept is explained: blended cognition, the natural skill of human beings for combining constantly different heuristics during their several task-solving activities. Something that was sometimes observed like a problem as “bad reasoning”, is now the central key for the understanding of the richness, adaptability and creativity of human cognition. The topic of this book connects in a significant way with the disciplines of psychology, neurology, anthropology, philosophy, logics, engineering, logics, and AI. In a nutshell: understanding better humans for designing better machines.Any person with interests on natural and artificial reasoning should read this book as a primary source of inspiration and a way to achieve a critical thinking on these topics.
Editors and Affiliations
Bibliographic Information
Book Title: Blended Cognition
Book Subtitle: The Robotic Challenge
Editors: Jordi Vallverdú, Vincent C. Müller
Series Title: Springer Series in Cognitive and Neural Systems
DOI: https://doi.org/10.1007/978-3-030-03104-6
Publisher: Springer Cham
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-03103-9Published: 26 April 2019
eBook ISBN: 978-3-030-03104-6Published: 12 April 2019
Series ISSN: 2363-9105
Series E-ISSN: 2363-9113
Edition Number: 1
Number of Pages: X, 304
Number of Illustrations: 30 b/w illustrations, 24 illustrations in colour
Topics: Neurosciences, Artificial Intelligence, Computer Appl. in Social and Behavioral Sciences