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  • Textbook
  • Nov 2010

Confabulation Theory

The Mechanism of Thought

  • 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)

  1. Front Matter

    Pages I-X
  2. Introduction

    Pages 1-19
  3. Cogent Confabulation

    Pages 91-98
  4. The Mechanism of Thought

    • Robert Hecht-Nielsen, Robert W. Means, Kate Mark, Syrus C. Nemat-Nasser, Luke Barrington, Andrew Smith
    Pages 117-137
  5. Back Matter

    Pages 229-245

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.

Authors and Affiliations

  • University of California, San Diego, La Jolla, USA

    Robert Hecht-Nielsen

About the author

Robert Hecht-Nielsen was made a Fellow of the IEEE in 1997 for leadership in practical applications of neural network technology. He was a pioneer in the development of neural networks and authored the first textbook on the subject, Neurocomputing (1989). He has been a member of the UCSD faculty since 1986.

Bibliographic Information