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9780230302945

Mind and Machine

by
  • ISBN13:

    9780230302945

  • ISBN10:

    0230302947

  • Format: Paperback
  • Copyright: 2012-10-02
  • Publisher: Palgrave Macmillan
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Summary

Mind and Machineoffers both an up-to-date overview of central questions and topics in the philosophy of artificial intelligence, as well as a distinct stance on many of the key debates, all the while focusing on two central questions: - Could a machine think? and - Are we such machines? The book covers the philosophical and historical foundations of AI, as well as specific topics in classical, connectionist, dynamical and embodied AI, including the Turing Test, the Chinese Room thought experiment, Gödelian arguments against AI, The Singularity, and a detailed discussion of many famous AI models. It also offers an annotated bibliography of suggested further readings, and can thus be used either as a standalone overview, or as a companion to a selection of key primary sources in AI.

Author Biography

Joel Walmsley is Lecturer in Philosophy at University College Cork in Ireland. His research interests are in philosophy of cognitive science (especially concerning Artificial Intelligence and Dynamical Systems Theory), philosophy of science (especially concerning explanation) and philosophy of mind (especially concerning emergence and the extended mind' hypothesis). His previous work include Mind: Historical and Philosophical Introduction to the Major Theories (2006, co-authored with A. Kukla).

Table of Contents

Series Editor's Prefacep. ix
List of Illustrationsp. xi
Acknowledgementsp. xiii
Introductionp. 1
Historical and Theoretical Backgroundp. 4
Early modern rootsp. 5
Descartes: the ghost in the machinep. 5
Hobbes and Hume: mental mechanicsp. 7
Pascal and Leibniz: mathematical machinesp. 10
Turing and the 'Dartmouth Conference'p. 13
Varieties of AIp. 14
Is AI an empirical or a priori enterprise?p. 19
AI and the mind-body problemp. 23
Classical Cognitive Science and 'Good Old Fashioned AI'p. 26
Three roots of the classical approachp. 27
Logicp. 27
Linguisticsp. 30
Functionalism and the 'Representational Theory of Mind (RTM)'p. 32
Algorithms, Turing Machines and Turing's thesisp. 35
GOFAI's success storiesp. 44
Reasoning: the logic theory machinep. 44
Chess: Deep Bluep. 48
Conversation: ELIZAp. 51
GOFAI and the mind-body problemp. 54
Gödel, the Turing Test and the Chinese Roomp. 57
Gödel's incompleteness theoremp. 58
The Turing Testp. 64
Searle's Chinese Roomp. 69
Connectionismp. 77
Physiological and psychological realismp. 79
Representation reconsideredp. 83
Some connectionist modelsp. 88
Pattern recognition: the mine/rock detectorp. 88
Language: past-tense learningp. 90
Disorders: network models of schizophreniap. 93
Connectionism and the mind-body problemp. 96
Criticisms and Consequences of the Connectionist Approachp. 99
Connectionism, folk psychology and eliminativismp. 99
Connectionism and compositionalityp. 107
The Dynamical Approachp. 115
Motivationp. 115
Dynamical systems theoryp. 117
Dynamical cognitive science: time and timingp. 120
Dynamical cognitive science in actionp. 124
Finger wagging: the 'HKB' modelp. 124
Beer on bugsp. 126
Perceptual categorisationp. 130
Taking stock: consequences and criticisms of the dynamical approachp. 131
Explanationp. 132
Situationp. 134
Representation revis(it)edp. 138
Incrementalismp. 143
The dynamical approach and the mind-body problemp. 146
The Future: Mind and Machine Mergedp. 151
The extended mind hypothesisp. 152
Cognitive technology and human-machine hybridsp. 160
'The singularity'p. 165
Conclusionp. 170
Notesp. 173
Suggestions for Further Readingp. 176
Works Citedp. 179
Indexp. 189
Table of Contents provided by Ingram. All Rights Reserved.

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