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What Computers Still Can't Do: A Critique of Artificial Reason,Used
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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 oldfashioned 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.
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- Q: What is the main argument of 'What Computers Still Can't Do'? A: The book critiques the limitations of artificial intelligence, arguing that disembodied machines cannot replicate higher mental functions, emphasizing the need for AI researchers to understand philosophical perspectives on human cognition.
- Q: Who is the author of this book? A: The author is Hubert L. Dreyfus, a philosopher known for his work on the implications of artificial intelligence and human cognition.
- Q: When was the revised edition of this book published? A: The revised edition was published on October 30, 1992.
- Q: What is the book's page count? A: The book contains 429 pages.
- Q: What binding type does this book have? A: This edition is available in paperback binding.
- Q: Is this book suitable for beginners in AI? A: Yes, the book provides foundational insights into the limitations of AI, making it accessible for beginners interested in the philosophical aspects of artificial intelligence.
- Q: What are the key themes discussed in the new introduction? A: The new introduction outlines changes in the AI field, including the rise of connectionism and neural networks, assessing their impact on traditional AI paradigms.
- Q: Does the book include any real-world applications of its theories? A: While the book primarily focuses on theoretical discussions, it indirectly critiques the direction of AI research, which can inform real-world applications and methodologies.
- Q: What is the target audience for 'What Computers Still Can't Do'? A: The target audience includes students, researchers in AI, and anyone interested in the philosophical implications of artificial intelligence and cognition.
- Q: How does Dreyfus's work contribute to the understanding of AI? A: Dreyfus's work challenges conventional beliefs in AI capabilities, urging researchers to integrate philosophical insights into their understanding of human-like intelligence.