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The Myth of Artificial Intelligence : Why Computers Can’t Think the Way We Do
9 The Puzzle of Peirce (and Peirce’s Puzzle)
edited-book
Publication date:
December 31 2021
Publisher:
Harvard University Press
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Numerical Algebra, Matrix Theory, Differential-Algebraic Equations, and Control Theory
Author and book information
Book Chapter
Publication date:
December 31 2021
Pages
: 95-105
DOI:
10.4159/9780674259935-010
SO-VID:
09c07738-322e-4ea1-88c0-b483a4d8b80e
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Book chapters
pp. i
Front Matter
pp. i
Frontmatter
pp. vii
Table of Contents
pp. vii
CONTENTS
pp. 1
INTRODUCTION
pp. 1
Introduction
pp. 9
THE INTELLIGENCE ERROR
pp. 19
TURING AT BLETCHLEY
pp. 33
THE SUPERINTELLIGENCE ERROR
pp. 44
THE SINGULARITY, THEN AND NOW
pp. 50
NATURAL LANGUAGE UNDERSTANDING
pp. 60
AI AS TECHNOLOGICAL KITSCH
pp. 68
SIMPLIFICATIONS AND MYSTERIES
pp. 89
DON’T CALCULATE, ANALYZE
pp. 9
1 The Intelligence Error
pp. 95
THE PUZZLE OF PEIRCE (AND PEIRCE’S PUZZLE)
pp. 106
PROBLEMS WITH DEDUCTION AND INDUCTION
pp. 133
MACHINE LEARNING AND BIG DATA
pp. 157
ABDUCTIVE INFERENCE
pp. 191
INFERENCE AND LANGUAGE I
pp. 204
INFERENCE AND LANGUAGE II
pp. 237
MYTHS AND HEROES
pp. 245
AI MYTHOLOGY INVADES NEUROSCIENCE
pp. 263
NEOCORTICAL THEORIES OF HUMAN INTELLIGENCE
pp. 269
THE END OF SCIENCE?
pp. 19
2 Turing at Bletchley
pp. 33
3 The Superintelligence Error
pp. 44
4 The Singularity, Then and Now
pp. 50
5 Natural Language Understanding
pp. 60
6 AI as Technological Kitsch
pp. 68
7 Simplifications and Mysteries
pp. 89
8 Don’t Calculate, Analyze
pp. 95
9 The Puzzle of Peirce (and Peirce’s Puzzle)
pp. 106
10 Problems with Deduction and Induction
pp. 133
11 Machine Learning and Big Data
pp. 157
12 Abductive Inference
pp. 191
13 Inference and Language I
pp. 204
14 Inference and Language II
pp. 237
15 Myths and Heroes
pp. 245
16 AI Mythology Invades Neuroscience
pp. 263
17 Neocortical Theories of Human Intelligence
pp. 269
18 The End of Science?
pp. 283
Notes
pp. 283
NOTES
pp. 301
ACKNOWLEDGMENTS
pp. 301
Acknowledgments
pp. 303
INDEX
pp. 303
Index
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