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Sinopsis
Presupposing no familiarity with the technical concepts of either philosophy or computing, this clear introduction reviews the progress made in AI since the inception of the field in 1956. Copeland goes on to analyse what those working in AI must achieve before they can claim to have built a thinking machine and appraises their prospects of succeeding. There are clear introducdtions to connectionism and to the language of thought hypothesis which weave together material from philosophy, artificial intelligence, and neuroscience. John Searle's recent attacks on AI and cognitive science are countered and close attention is given to foundational issues, including the nature of computation,Turing machines, the Church-Turing thesis, and the differences between classical symbol processing and parallel distributed processing. The book also explores the possibility of machines having freewill and consciousness and concludes with a discussion of in what sense the human brain may be a computer.
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Reseña del editor
Presupposing no familiarity with the technical concepts of either philosophy or computing, this clear introduction reviews the progress made in AI since the inception of the field in 1956. Copeland goes on to analyse what those working in AI must achieve before they can claim to have built a thinking machine and appraises their prospects of succeeding. There are clear introducdtions to connectionism and to the language of thought hypothesis which weave together material from philosophy, artificial intelligence, and neuroscience. John Searle's recent attacks on AI and cognitive science are countered and close attention is given to foundational issues, including the nature of computation,Turing machines, the Church-Turing thesis, and the differences between classical symbol processing and parallel distributed processing. The book also explores the possibility of machines having freewill and consciousness and concludes with a discussion of in what sense the human brain may be a computer.
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