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From Deep Learning to Rational Machines: What the History of Philosophy Can Teach Us about the Future of Artificial Intelligence - Hardcover

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9780197653302: From Deep Learning to Rational Machines: What the History of Philosophy Can Teach Us about the Future of Artificial Intelligence
  • PublisherOxford University Press
  • Publication date2023
  • ISBN 10 0197653308
  • ISBN 13 9780197653302
  • BindingHardcover
  • LanguageEnglish
  • Number of pages440
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Buckner, Cameron J.
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ISBN 10: 0197653308 ISBN 13: 9780197653302
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Buckner, Cameron J.
Published by Oxford University Press, 2023
ISBN 10: 0197653308 ISBN 13: 9780197653302
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Condition: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers. Seller Inventory # 46153652-5

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Buckner, Cameron J.
Published by Oxford University Press, 2023
ISBN 10: 0197653308 ISBN 13: 9780197653302
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hardcover. Condition: Good. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes). Seller Inventory # 009262315U

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Buckner, Cameron J.
Published by Oxford University Press, 2023
ISBN 10: 0197653308 ISBN 13: 9780197653302
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Cameron J. Buckner
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Hardcover. Condition: new. Hardcover. This book provides a framework for thinking about foundational philosophical questions surrounding the use of deep artificial neural networks ("deep learning") to achieve artificial intelligence. Specifically, it links recent breakthroughs to classic works in empiricist philosophy of mind. In recent assessments of deep learning's potential, scientists have cited historical figures from the philosophical debate between nativism and empiricism, which concerns theorigins of abstract knowledge. These empiricists were faculty psychologists; that is, they argued that the extraction of abstract knowledge from experience involves the active engagement of psychologicalfaculties such as perception, memory, imagination, attention, and empathy. This book explains how recent deep learning breakthroughs realized some of the most ambitious ideas about these faculties from philosophers such as Aristotle, Ibn Sina (Avicenna), John Locke, David Hume, William James, and Sophie de Grouchy. It illustrates the utility of this interdisciplinary connection by showing how it can provide benefits to both philosophy and computer science: computer scientists can continue tomine the history of philosophy for ideas and aspirational targets to hit, and philosophers can see how some of the historical empiricists' most ambitious speculations can now be realized in specificcomputational systems. This book explains how recent deep learning breakthroughs realized some of the most ambitious ideas of empiricist philosophers such as Aristotle, Ibn Sina (Avicenna), John Locke, David Hume, William James, and Sophie de Grouchy. It illustrates the utility of this interdisciplinary connection by showing how it can provide benefits to both philosophy and computer science. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9780197653302

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Buckner, Cameron J.
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Hardcover. Condition: Brand New. 488 pages. 7.80x6.00x2.20 inches. In Stock. Seller Inventory # __0197653308

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Buckner, Cameron J.
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