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What Computers Still Can't Do: A Critique of Artificial Reason Revised ed. Edition
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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's arguments are still provocative and focus our attention once again on what it is that makes human beings unique.
- ISBN-100262540673
- ISBN-13978-0262540674
- EditionRevised ed.
- PublisherThe MIT Press
- Publication dateOctober 30, 1992
- LanguageEnglish
- Dimensions5.44 x 1.03 x 8.06 inches
- Print length429 pages
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Product details
- Publisher : The MIT Press; Revised ed. edition (October 30, 1992)
- Language : English
- Paperback : 429 pages
- ISBN-10 : 0262540673
- ISBN-13 : 978-0262540674
- Item Weight : 1.15 pounds
- Dimensions : 5.44 x 1.03 x 8.06 inches
- Best Sellers Rank: #339,291 in Books (See Top 100 in Books)
- #45 in Artificial Intelligence (Books)
- #544 in Artificial Intelligence & Semantics
- #2,087 in Behavioral Sciences (Books)
- Customer Reviews:
About the author

Hubert Dreyfus is Professor of Philosophy in the Graduate School at the University of California, Berkeley. After receiving his Ph.D. from Harvard University, he taught at MIT, before coming to Berkeley in l968. Dreyfus has been a Guggenheim Fellow, and has received research grants from both the National Science Foundation and the National Endowment for the Humanities. He holds a Doctorate Honoris Causa from Erasmus University, Rotterdam, and is a Fellow of the American Academy of Arts and Sciences.
You can follow him on Twitter @hubertdreyfus; or on Facebook at “All Things Shining”.
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In drawing attention to his muse Heidegger, Dreyfus is very critical of the philosophical tradition, which relied primarily on reason. Yet reason, which Dreyfus does not define, is the central focus of his argument for being human. His method is primarily his ability to doubt that computers can think, i.e., I can’t think, therefore, I can’t be human. Is this the tradition in disguise or what?
Of course, his argument goes much deeper than just thinking, which computers do best in the form of calculating, etc. It has to do with their inability to function in the world like humans, which is more of a problem for robots than computers per se.
Humans are prone to make mistakes, especially when confronted with new environments or handling complex systems like spacecraft. Engineers must design systems in ways to question the appropriateness of human behavior. Is it safe to do such a thing at this time? Of critical importance in the whole study of AI is not whether computers can do what humans do, but whether computers can support, correct, and enhance what humans do.
Fifty years from now when science moves information processing from the digital to the molecular level, new forms of knowledge will emerge, which will be a call to philosophers to reinvent the tradition and reawaken interest in Plato, Descartes, and Kant. Then some philosophy professor will write a book titled Why Computers Can Think And Man Still Can’t and end the debate.
Dreyfus traces the program from its early successes in the middle of the last century to the abandonment of all the major players at the end. In doing so he provides an excellent explanation into the philosophical misconceptions that led (and still lead) many to overestimate the prospects of this program. He draws on Heidegger and Wittgenstein to correct a flawed picture of what it is to "know" that is still prevalent in Western thought.
This book and Dreyfus' life work are very notable accomplishments and demonstrate the powerful of insightful humanistic enquiry in our increasingly scientific and technical age.






