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What Computers Still Can't Do: A Critique of Artificial Reason (Paperback)

by H L Dreyfus (Author) "The attempts at language translation by computers had the earliest success, the most extensive and expensive research, and the most unequivocal failure ..." (more)

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Product details

Paperback: 429 pages
Publisher: MIT Press; Revised edition edition (14 Dec 1992)
Language English
ISBN-10: 0262540673
ISBN-13: 978-0262540674
Product Dimensions: 19.8 x 13.5 x 2.5 cm

Average Customer Review: 5.0 out of 5 stars See all reviews (1 customer review)

Amazon.co.uk Sales Rank: 432,317 in Books (See Bestsellers in Books)

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Product Description

When it was first published in 1972, Hubert Dreyfus's manifesto on the inherent inability of disembodied machines to mimic higher mental functions caused an uproar in the artificial intelligence community. Today it is clear that "good old-fashioned AI", based on the idea of using symbolic representations to produce general intelligence, is in decline (although several believers still pursue its pot of gold), and the focus of the AI community has shifted to more complex models of the mind. It has also become more common for AI researchers to seek out and study philosophy. For this edition, Dreyfus has added a lengthy new introduction outlining these changes and assessing the paradigms of connectionism and neural networks that have transformed the field. At a time when researchers were proposing grand plans for general problem solvers and automatic translation machines, Dreyfus predicted that they would fail because their conception of mental functioning was naive, and he suggested that they would do well to acquaint themselves with modern philosophical approaches to human beings. "What Computers Can't Do" was widely attacked but quietly studied. Dreyfus' arguments are still provocative and focus our attention once again on what it is that makes human beings unique.

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The attempts at language translation by computers had the earliest success, the most extensive and expensive research, and the most unequivocal failure. Read the first page

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5.0 out of 5 stars An absolute 'must read' for people interested in the role of computing in society, 7 April 1997

By A Customer

This is an absolute classic that everyone interested in or working in AI should have read. It is one of the very view books on a computer related subject that is over 25 years old and still useful today. That alone might tell you something. I find it interesting that many AI-workers seem to be actually afraid of this book. They should not. It may give the reader a far better sense on limits, use and future of AI work.

I would also recommend this book to people outside the AI world and who are interested in what role the digital computer may play in our lives. But the book is not about bits, so if you don't like technical mumbo-jumbo, this is still a book for you.

The book is very well written. Some readers may find it a difficult book, as it also contains some philosophical issues. But some readers may find themselves in a bookstore asking for the work of Wittgenstein or Heidegger and actually understanding what they read (and like what they read) after having read this book.

I have only one complaint. The introduction to the 1992 MIT Press edition is in fact an afterword. It assumes that you already are familiar with the history of the subject. So, if you read this book, you should start with the Introduction to the 1979 edition instead and keep the Introduction to the MIT Press edition definitely for last.

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