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From Deep Learning to Rational Machines: What the History of Philosophy Can Tea
From Deep Learning to Rational Machines: What the History of Philosophy Can Tea
From Deep Learning to Rational Machines: What the History of Philosophy Can Tea
From Deep Learning to Rational Machines: What the History of Philosophy Can Tea
From Deep Learning to Rational Machines: What the History of Philosophy Can Tea
From Deep Learning to Rational Machines: What the History of Philosophy Can Tea
From Deep Learning to Rational Machines: What the History of Philosophy Can Tea
From Deep Learning to Rational Machines: What the History of Philosophy Can Tea
From Deep Learning to Rational Machines: What the History of Philosophy Can Tea
From Deep Learning to Rational Machines: What the History of Philosophy Can Tea
From Deep Learning to Rational Machines: What the History of Philosophy Can Tea
From Deep Learning to Rational Machines: What the History of Philosophy Can Tea
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From Deep Learning to Rational Machines: What the History of Philosophy Can Tea

From Deep Learning to Rational MachinesWhat the History of Philosophy Can Teach Us about the Future of Artificial Intelligence

Author(s): Cameron J. Buckner

Format: Hardback

Publisher: Oxford University Press Inc, United States

Imprint: Oxford University Press Inc

ISBN-13: 9780197653302, 978-0197653302

Synopsis

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 the origins 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 psychological facult.

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From Deep Learning to Rational Machines: What the History of Philosophy Can Tea

From Deep Learning to Rational MachinesWhat the History of Philosophy Can Teach Us about the Future of Artificial Intelligence

Author(s): Cameron J. Buckner

Format: Hardback

Publisher: Oxford University Press Inc, United States

Imprint: Oxford University Press Inc

ISBN-13: 9780197653302, 978-0197653302

Synopsis

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 the origins 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 psychological facult.

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From Deep Learning To Rational Machines : What The History Of Philosophy Can Teach Us About The Future Of Artificial Intelligence Cameron J. (Associate Professor, Associate Professor, Univers Buckner

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From Deep Learning to Rational MachinesWhat the History of Philosophy Can Teach Us about the Future of Artificial Intelligence

Author(s): Cameron J. Buckner

Format: Hardback

Publisher: Oxford University Press Inc, United States

Imprint: Oxford University Press Inc

ISBN-13: 9780197653302, 978-0197653302

Synopsis

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 the origins 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 psychological facult.

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