An edition of Minds and Computers (2007)

Minds and Computers

An Introduction to the Philosophy of Artificial Intelligence

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Last edited by MARC Bot
August 29, 2024 | History
An edition of Minds and Computers (2007)

Minds and Computers

An Introduction to the Philosophy of Artificial Intelligence

  • 1 Want to read

An easily accessible survey of artificial intelligence (AI) and how one can evaluate whether AI succeeds or not.

Publish Date
Language
English
Pages
240

Buy this book

Previews available in: English

Edition Availability
Cover of: Minds and Computers
Minds and Computers: An Introduction to the Philosophy of Artificial Intelligence
February 15, 2007, Edinburgh University Press, EDINBURGH UNIV PRESS
Paperback in English
Cover of: Minds and Computers
Minds and Computers: An Introduction to the Philosophy of Artificial Intelligence
February 15, 2007, Edinburgh University Press
Hardcover in English

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Book Details


Table of Contents

Acknowledgements
Page ix
1. Introduction
Page 1
2. Dualism
Page 4
2.1. Substance Dualism
Page 4
2.2. Cartesian Dualism
Page 5
2.3. Positive Arguments for Cartesian Dualism
Page 5
2.3.1. The Argument from Religion
Page 6
2.3.2. The Argument from Introspective Appearance
Page 7
2.3.3. The Argument from Essential Properties
Page 8
2.4. Arguments against Cartesian Dualism
Page 9
2.4.1. The Problem of Other Minds
Page 9
2.4.2. Ockham's Razor
Page 10
2.4.3. The Problem of Interaction
Page 11
2.5. Other Dualisms
Page 12
2.5.1. Parallelism
Page 12
2.5.2. Occasionalism
Page 13
2.5.3. Epiphenomenalism
Page 13
2.6. Anomalous Monism
Page 14
3. Behaviourism
Page 15
3.1. Early Empirical Psychology
Page 15
3.2. Physiological Psychology
Page 16
3.3. Introspectionist Psychology
Page 17
3.4. Psychological Behaviourism
Page 20
3.5. Philosophical Behaviourism
Page 23
3.6. Objections to Philosophical Behaviourism
Page 24
4. Neuroanatomy
Page 27
4.1. Macro-Neuroanatomy
Page 27
4.2. Micro-Neuroanatomy
Page 32
5. Australian Materialism
Page 35
5.1. The Causal Theory of Mind
Page 36
5.2. The Identity Theory
Page 37
5.3. Arguments against Australian Materialism
Page 38
5.4. What Mary Didn't Know
Page 42
6. Functionalism
Page 44
6.1. Functional Definition
Page 44
6.2. A Black Box Theory
Page 45
6.3. Qualia Objections
Page 48
7. Formal Systems
Page 52
7.1. Effectivity
Page 53
7.2. States and Rules
Page 57
7.3. Specification
Page 58
7.4. Generation and Derivation
Page 61
7.5. Generation Trees
Page 64
7.6. Formality and Isomorphism
Page 67
8. Computability
Page 70
8.1. Register Machines
Page 70
8.2. Programs
Page 71
8.3. Running a Program
Page 73
8.4. Computation
Page 75
8.5. Computable Functions
Page 76
8.6. Building Programs
Page 79
9. Universal Machines
Page 85
9.1. Church/Turing Thesis
Page 86
9.2. Gödel Coding
Page 88
9.3. A Universal Machine
Page 92
10. Computationalism
Page 94
10.1. What Computationalism Isn't
Page 95
10.2. Software and Wetware
Page 99
10.3. Variation
Page 101
10.4. Learning
Page 103
10.5. Creativity
Page 106
10.6. Attributing Mentality
Page 108
11. Search
Page 113
11.1. Top Down, Bottom Up
Page 113
11.2. Breadth Versus Depth
Page 115
11.3. Heuristic Search
Page 117
12. Games
Page 122
12.1. A Simple Game
Page 122
12.2. Minimax
Page 125
12.3. Pruning
Page 127
12.4. Humans Versus Computers
Page 128
13. Machine Reasoning
Page 132
13.1. Logic and Deduction
Page 132
13.2. Conditionality and Predication
Page 134
13.3. Kinship
Page 137
13.4. Expert Systems
Page 141
14. Machines and Language
Page 145
14.1. Interpreting Language
Page 145
14.2. Generative Grammar
Page 149
14.3. Phrase Structure Trees
Page 150
14.4. Computing Language
Page 152
15. Human Reasoning
Page 154
15.1. Following Logically
Page 156
15.2. Rational Performance
Page 157
15.3. Mental Models
Page 160
15.4. Explanatory Burden
Page 161
16. Human Language
Page 164
16.1. Obstruent Phonemes
Page 165
16.2. Sonorant Phonemes
Page 167
16.3. Allophones and Phonetic Realisation
Page 170
16.4. First-Language Acquisition
Page 172
16.5. Language and Rules
Page 173
17. Meaning
Page 175
17.1. The Chinese Room
Page 175
17.2. Syntax and Semantics
Page 177
18. Representation
Page 181
18.1. Intentionality
Page 181
18.2. Categories and Content
Page 183
18.3. Symbols and Patterns
Page 184
18.4. Cognitive Architecture
Page 185
19. Artificial Neural Networks
Page 187
19.1. Connectionist Architecture
Page 187
19.2. Simple Artificial Neural Networks
Page 189
19.3. Synthesising Speech
Page 191
19.4. Learning
Page 196
19.5. Pattern Recognition
Page 198
19.6. Two Paradigms?
Page 199
19.7. It's Only a Model
Page 200
20. Minds and Computers
Page 202
20.1. Consciousness
Page 202
20.2. Personal Identity
Page 203
20.3. Emotions
Page 205
20.4. Computers with Minds
Page 206
Appendix I. Suggestions for Further Reading
Page 207
Appendix II. Glossary of Terms
Page 211
Index
Page 218

Edition Notes

Published in
Edinburgh, UK
Copyright Date
2007

Classifications

Library of Congress
Q335

The Physical Object

Format
Paperback
Pagination
ix, 222
Number of pages
240
Dimensions
9.1 x 6.1 x 0.7 inches
Weight
12.6 ounces

ID Numbers

Open Library
OL10760648M
Internet Archive
mindscomputersin0000cart
ISBN 10
0748620990
ISBN 13
9780748620999
Library Thing
4561353
Goodreads
2133946

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Download catalog record: RDF / JSON
August 29, 2024 Edited by MARC Bot import existing book
February 19, 2023 Edited by Stew Clean up people keywords
July 5, 2019 Edited by MARC Bot import existing book
October 17, 2010 Edited by 90.229.152.123 A one-line description added
December 10, 2009 Created by WorkBot add works page