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What Computers Can T Do


What Computers Can T Do
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What Computers Can T Do


What Computers Can T Do
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Author : Hubert L. Dreyfus
language : en
Publisher: HarperCollins Publishers
Release Date : 1972

What Computers Can T Do written by Hubert L. Dreyfus and has been published by HarperCollins Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 1972 with Computers categories.




What Computers Still Can T Do


What Computers Still Can T Do
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Author : Hubert L. Dreyfus
language : en
Publisher: MIT Press
Release Date : 1992-10-30

What Computers Still Can T Do written by Hubert L. Dreyfus and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992-10-30 with Computers categories.


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. The world has changed since then. 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 Al 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 of his now classic book, 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's arguments are still provocative and focus our attention once again on what it is that makes human beings unique.



What Computers Can T Do


What Computers Can T Do
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Author : Hubert L. Dreyfus
language : en
Publisher:
Release Date : 1979

What Computers Can T Do written by Hubert L. Dreyfus and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1979 with Artificial intelligence categories.




What Computers Can T Do


What Computers Can T Do
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Author : Hubert L. Dreyfus
language : en
Publisher:
Release Date : 1972

What Computers Can T Do written by Hubert L. Dreyfus and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1972 with Artificial intelligence categories.




The Myth Of Artificial Intelligence


The Myth Of Artificial Intelligence
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Author : Erik J. Larson
language : en
Publisher: Harvard University Press
Release Date : 2021-04-06

The Myth Of Artificial Intelligence written by Erik J. Larson and has been published by Harvard University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-06 with Computers categories.


“Artificial intelligence has always inspired outlandish visions—that AI is going to destroy us, save us, or at the very least radically transform us. Erik Larson exposes the vast gap between the actual science underlying AI and the dramatic claims being made for it. This is a timely, important, and even essential book.” —John Horgan, author of The End of Science Many futurists insist that AI will soon achieve human levels of intelligence. From there, it will quickly eclipse the most gifted human mind. The Myth of Artificial Intelligence argues that such claims are just that: myths. We are not on the path to developing truly intelligent machines. We don’t even know where that path might be. Erik Larson charts a journey through the landscape of AI, from Alan Turing’s early work to today’s dominant models of machine learning. Since the beginning, AI researchers and enthusiasts have equated the reasoning approaches of AI with those of human intelligence. But this is a profound mistake. Even cutting-edge AI looks nothing like human intelligence. Modern AI is based on inductive reasoning: computers make statistical correlations to determine which answer is likely to be right, allowing software to, say, detect a particular face in an image. But human reasoning is entirely different. Humans do not correlate data sets; we make conjectures sensitive to context—the best guess, given our observations and what we already know about the world. We haven’t a clue how to program this kind of reasoning, known as abduction. Yet it is the heart of common sense. Larson argues that all this AI hype is bad science and bad for science. A culture of invention thrives on exploring unknowns, not overselling existing methods. Inductive AI will continue to improve at narrow tasks, but if we are to make real progress, we must abandon futuristic talk and learn to better appreciate the only true intelligence we know—our own.



Computers Ltd


Computers Ltd
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Author : David Harel
language : en
Publisher: Oxford University Press
Release Date : 2004

Computers Ltd written by David Harel and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Computers categories.


David Harel explains and illustrates one of the most fundamental, yet under-exposed facets of computers - their inherent limitations.



What Computers Cant Do Scholar S Choice Edition


What Computers Cant Do Scholar S Choice Edition
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Author : Hubert L. Dreyfus
language : en
Publisher: Scholar's Choice
Release Date : 2015-02-15

What Computers Cant Do Scholar S Choice Edition written by Hubert L. Dreyfus and has been published by Scholar's Choice this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02-15 with categories.


This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.



Review Of Hubert Dreyfus What Computers Can T Do A Critique Of Artificial Reason


Review Of Hubert Dreyfus What Computers Can T Do A Critique Of Artificial Reason
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Author : Stanford University. Computer Science Department
language : en
Publisher:
Release Date : 1972

Review Of Hubert Dreyfus What Computers Can T Do A Critique Of Artificial Reason written by Stanford University. Computer Science Department and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1972 with Artificial intelligence categories.


The recent book What OMPUTERS Can't Do by Hubert Dreyfus is an attack on artificial intelligence research. This review takes the position that the philosophical content of the book is interesting, but that the attack on artificial intelligence is not well reasoned. (Author).



What Computers Can T Do


What Computers Can T Do
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Author :
language : en
Publisher:
Release Date : 1979

What Computers Can T Do written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1979 with categories.




The Myth Of Artificial Intelligence


The Myth Of Artificial Intelligence
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Author : Erik J. Larson
language : en
Publisher: Harvard University Press
Release Date : 2021-04-06

The Myth Of Artificial Intelligence written by Erik J. Larson and has been published by Harvard University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-06 with Computers categories.


“Exposes the vast gap between the actual science underlying AI and the dramatic claims being made for it.” —John Horgan “If you want to know about AI, read this book...It shows how a supposedly futuristic reverence for Artificial Intelligence retards progress when it denigrates our most irreplaceable resource for any future progress: our own human intelligence.” —Peter Thiel Ever since Alan Turing, AI enthusiasts have equated artificial intelligence with human intelligence. A computer scientist working at the forefront of natural language processing, Erik Larson takes us on a tour of the landscape of AI to reveal why this is a profound mistake. AI works on inductive reasoning, crunching data sets to predict outcomes. But humans don’t correlate data sets. We make conjectures, informed by context and experience. And we haven’t a clue how to program that kind of intuitive reasoning, which lies at the heart of common sense. Futurists insist AI will soon eclipse the capacities of the most gifted mind, but Larson shows how far we are from superintelligence—and what it would take to get there. “Larson worries that we’re making two mistakes at once, defining human intelligence down while overestimating what AI is likely to achieve...Another concern is learned passivity: our tendency to assume that AI will solve problems and our failure, as a result, to cultivate human ingenuity.” —David A. Shaywitz, Wall Street Journal “A convincing case that artificial general intelligence—machine-based intelligence that matches our own—is beyond the capacity of algorithmic machine learning because there is a mismatch between how humans and machines know what they know.” —Sue Halpern, New York Review of Books