Overview
- Includes contributions from some of the world's best-known researchers and scholars in the field, edited to be comprehensible for non-experts
- Covers various perspectives employed to study math cognition, ranging from neuroscience to semiotics
- Provides a truly interdisciplinary collection of work that will be of interest to an exceptionally wide variety of readers
Part of the book series: Mathematics in Mind (MATHMIN)
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Table of contents (20 chapters)
Keywords
- math learning
- semiotics in mathematics
- brain studies on math cognition
- cognitive science approaches to the mathematical mind
- limbic system
- spatial cognition
- number cognition
- symbolism
- biological brain
- conceptual blending
- mathematics technologies
- Zipf's law
- iconicity
- calculus of indications
- set theory
- triadic semiotics
- science of coordination dynamics
- Klein's hierarchy
- negation
- problem-based learning
About this book
This volume will be of interest to mathematicians, cognitive scientists, educators of mathematics, philosophers of mathematics, semioticians, psychologists, linguists, anthropologists, and all other kinds of scholars who are interested in the nature, origin, and development of mathematical cognition.
Reviews
“The book is dense with very well rounded research that provides the reader with a deep understanding of each body of research. I highly recommend this book for those interested in how math cognition works and to have new, insightful takeaways for additional research of your own making.” (Peter Olszewski, MAA Reviews, January 4, 2020)
Editors and Affiliations
Bibliographic Information
Book Title: Interdisciplinary Perspectives on Math Cognition
Editors: Marcel Danesi
Series Title: Mathematics in Mind
DOI: https://doi.org/10.1007/978-3-030-22537-7
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-22536-0Published: 25 September 2019
Softcover ISBN: 978-3-030-22539-1Published: 25 September 2020
eBook ISBN: 978-3-030-22537-7Published: 14 September 2019
Series ISSN: 2522-5405
Series E-ISSN: 2522-5413
Edition Number: 1
Number of Pages: VIII, 344
Number of Illustrations: 101 b/w illustrations, 4 illustrations in colour
Topics: Mathematical Models of Cognitive Processes and Neural Networks, Neurosciences, Mathematics Education