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Artificial intelligence : a philosophical introduction

Author: B Jack Copeland
Publisher: Oxford, UK : Malden, Massachusetts, USA : Blackwell Publishers, 1993.
Edition/Format:   eBook : Document : EnglishView all editions and formats
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Copeland, Jack.
Artificial Intelligence : A Philosophical Introduction.
Hoboken : Wiley, ©2015
(DLC) 92044278
(OCoLC)27186952
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: B Jack Copeland
ISBN: 9781119189848 1119189845
OCLC Number: 917153129
Description: 1 online resource (ix, 315 pages) : illustrations
Contents: The beginnings of Artificial Intelligence: a historical sketch --
Some dazzling exhibits --
Can a machine think? --
The symbol system hypothesis --
A hard look at the facts --
The curious case of the Chinese room --
Freedom --
Consciousness --
Are we computers? --
AI's fresh start: parallel distributed processing. Cover; Title Page; Copyright; Contents; List of figures; Acknowledgements; Introduction; In outline; 1: The beginnings of ArtificialIntelligence:a historical sketch; 1.1 The arrival of the computer; 1.2 The Logic Theorist; 1.3 The Dartmouth Conference; 1.4 Alan Turing and the philosophy of AI; 2: Some dazzling exhibits; 2.1 Inside the machine; 2.2 Parry the paranoid program; 2.3 Eliza the psychotherapist; 2.4 Shrdlu the robot; 2.5 Hacker the program-writing program; 2.6 Programs that play games; 2.7 The General Problem Solver; 2.8 Sam and the Frump; 2.9 Expert systems; 3: Can a machine think? 3.1 Is consciousness necessary for thought?3.2 The Turing Test; 3.3 Has the Test been passed already?; 3.4 Four objections to the Turing Test; 1 The chimpanzee objection; 2 The sense organs objection; 3 The simulation objection; 4 The black box objection; 3.5 Assessing the Test; 3.6 Decision time; 4: The symbol system hypothesis; 4.1 Symbol manipulation; 4.2 Binary symbols; 4.3 Programs as symbols; 4.4 A full-scale program; 4.5 The definition of a computer; 4.6 The hypothesis; 4.7 Multiple realizability; 5: A hard look at the facts; 5.1 The evidence for the hypothesis. 5.2 Getting the evidence into perspective5.3 Hype; 5.4 Programming common sense; 5.5 Data versus know-how; 5.6 The CYC project; 5.7 The complexity barrier; 6: The curious case of the Chinese room; 6.1 The Chinese room argument; 6.2 What's wrong with the argument?; 6.3 Deciding about understanding; 6.4 Turing machines and the biological objection to AI; 7: Freedom; 7.1 Turbo Sam makes a choice; 7.2 Is freedom of the will an illusion?; 7.3 Two kinds of freedom; 1 Turing's randomizer; 2 How determinists can have their cake and be free to eat it too; 7.4 Kleptomania and other compulsions. 7.5 Libertarianism7.6 Predictivism and chaos; 7.7 The inevitable; 8: Consciousness; 8.1 Neglect and disarray; 8.2 The fuzzy baseline; 8.3 Consciousness as a type of internal monitoring; 8.4 The ineffable FEEL of it all; 8.5 Into the heart of the mystery; 8.6 What is it like to be a bat?; 8.7 What Mary doesn't know; 8.8 Drawing the threads together; 9: Are we computers?; 9.1 The strong symbol system hypothesis; 9.2 Hardware versus wetware; 9.3 Goodbye, von Neumann; 9.4 Putting meaning into meat; 9.5 Believing what you don't believe; 9.6 Productivity and systematicity. 9.7 Evaluating the arguments9.8 The meaning of 'computer'; 10: AI's fresh start: parallel distributed processing; 10.1 The basic ideas; 10.2 English lessons; 10.3 Escape from a nightmare?; 10.4 The contrast with computers; 10.5 Comparisons with wetware; 10.6 Searle's Chinese gym; 10.7 The Church-Turing thesis; 10.8 Are our cognitive processes algorithmically calculable?; 10.9 Simulating networks by computer; 10.10 The battle for the brain; 10.11 Concluding remarks; Epilogue; Notes; Introduction; Chapter 1 The beginnings of Artificial Intelligence: a historical sketch.
Responsibility: Jack Copeland.

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