From Deep Learning to Rational Machines: What the History of Philosophy Can Tea
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 faculties such as perception, memory, imagination, attention, and empathy. This book explains how recent deep learning
From Deep Learning to Rational Machines
What the History of Philosophy Can Teach Us about the Future of Artificial Intelligence
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Details:From Deep Learning to Rational Machines: What the History of Philosophy Can Tea
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 faculties such as perception, memory, imagination, attention, and empathy. This book explains how recent deep learning
From Deep Learning to Rational Machines
What the History of Philosophy Can Teach Us about the Future of Artificial Intelligence
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£33.52
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Product Description
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 faculties such as perception, memory, imagination, attention, and empathy. This book explains how recent deep learning
From Deep Learning to Rational Machines
What the History of Philosophy Can Teach Us about the Future of Artificial Intelligence
Free UK delivery on this item.
This brand new item is available with fr;
Product Specifications
General | |
|---|---|
Brand | Oxford University Press Inc |
format | hardback |
Language | english |
type | book |
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