Confabulation theory[digital video disc] : the mechanism of thought

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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.

Author Notes

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.

1 Introduction	p. 1
1.1 In the Beginning	p. 1
1.2 Cerebral Cortex and Thalamus: The Seat of Cognition	p. 5
1.3 The Four Key Elements of Confabulation Theory	p. 7
1.4 Cognitive Brain "Hardware" and "Software"	p. 14
1.5 Implications of Confabulation Theory	p. 15
1.6 Content of the Book	p. 17
2 Video Presentation Viewcells	p. 21
3 The Mathematics of Thought	p. 73
3.1 The Constructs of Confabulation Mathematics	p. 73
3.2 A Single Confabulation	p. 74
3.3 Multiconfabulation	p. 78
3.4 Symbols: The Universal Language of Cognition	p. 79
3.5 Knowledge Links	p. 81
3.6 Neuronal Implementation of Knowledge Links	p. 83
3.7 Neuronal Implementation of Confabulation	p. 87
3.8 The Origins of Confabulation Theory	p. 88
3.9 Discussion	p. 90
4 Cogent Confabulation	p. 91
4.1 Introduction	p. 91
4.2 Cogency and Confabulation	p. 92
4.3 Confabulation Examples	p. 94
4.4 Discussion	p. 96
5 Confabulation Neuroscience I	p. 99
5.1 Introduction	p. 99
5.2 Confabulation Theory Element 1	p. 100
5.3 Confabulation Theory Element 2: Knowledge Links	p. 102
5.4 Confabulation Theory Element 3: Confabulation	p. 104
5.5 Confabulation Theory Element 4: The Origin of Behavior	p. 106
5.6 Confabulation Theory Mathematics	p. 107
5.7 Multiconfabulation	p. 110
5.8 Discussion	p. 115
6 The Mechanism of Thought	p. 117
6.1 Introduction	p. 117
6.2 Confabulation Architecture	p. 119
6.3 Learning	p. 121
6.4 Thought Process	p. 121
6.5 Discussion	p. 123
Appendix 6.A Methods	p. 125
Appendix 6.B Complete List of Experiments and Results	p. 130
7 Mechanization of Confabulation	p. 139
7.1 Introduction	p. 139
7.2 Training and Education	p. 143
7.3 Language Cognition	p. 149
7.4 Sound Cognition	p. 167
7.5 Visual Cognition	p. 177
7.6 Discussion	p. 191
8 Confabulation Neuroscience II	p. 193
8.1 Introduction	p. 193
8.2 Summary of the Theory	p. 194
8.3 Implementation of Modules	p. 197
8.4 Implementation of Knowledge	p. 208
8.5 Implementation of Confabulation	p. 212
8.6 Action Commands	p. 219
8.7 Discussion	p. 225
References	p. 229
Index	p. 235

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Author Notes

Table of Contents