Overview
- First book on confabulation to offer a coherent, textbook style explanation of this new theory of cognition
- Includes supplementary material: sn.pub/extras
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Table of contents (8 chapters)
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About this book
Confabulation theory offers the first complete detailed explanation of the mechanism of cognition, i.e., thinking, an essential information processing capability of all enbrained Earth animals (bees, octopi, trout, ravens, humans, et al.). Concentrating on the human case, this book offers an hypothesis for the neuronal implementation of cognition, and explores the mathematics and methods of application of its mechanism. Thinking turns out to be starkly alien in comparison with all known technological approaches to information processing. While probably not yet scientifically testable, confabulation theory seems consistent with the facts of neuroscience. Beyond science, any complete detailed explanation of cognition can be investigated by applying it technologically. Multiple experiments of this nature are described in this book in complete detail. The results suggest that confabulation theory can provide the universal platform for building intelligent machines. In short, this book explains how thinking works and establishes the foundation for building machines that think.
Because of the theory’s implications for philosophy, education, medicine, anthropology and social science, this book will also be of interest to scientists in those domains.
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Bibliographic Information
Book Title: Confabulation Theory
Book Subtitle: The Mechanism of Thought
Authors: Robert Hecht-Nielsen
DOI: https://doi.org/10.1007/978-3-540-49605-2
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer-Verlag GmbH, DE, part of Springer Nature 2007
Hardcover ISBN: 978-3-540-49603-8Published: 05 July 2007
Softcover ISBN: 978-3-662-50109-2Published: 30 April 2017
Edition Number: 1
Number of Pages: X, 245
Topics: Artificial Intelligence, Neurosciences, Cognitive Psychology, Computational Linguistics, Popular Science, general, Theory of Computation