From Deep Learning to Rational Machines (Oxford University Press)
Friday, 29 December 2023

Subtitled "What the History of Philosophy Can Teach Us about the Future of Artificial Intelligence", 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, Cameron J. Buckner  links recent breakthroughs to classic works in empiricist philosophy of mind 

<ASIN:0197653308 >

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.

Author: Cameron J. Buckner
Publisher: Oxford University Press
Date: December 2023
Pages: 440
ISBN: 978-0197653302
Print: 0197653308
Kindle: B0CL9JBSD8
Audience: General
Level: Introductory/Intermediate
Category: Artificial Intelligence

For recommended titles on AI see  AI Books To Inspire You in our Programmer's Bookshelf section.

 

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Author: Mike McGrath
Publisher: In Easy Steps
Pages: 192
ISBN:978-1840789751
Print:1840789751
Kindle: B0B56LN77V
Audience: Complete beginners to programming
Rating: 4
Reviewer: Sue Gee

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Continuous Architecture In Practice (Addison-Wesley)

Author: Murat Erder, Pierre Pureur and Eoin Woods
Publisher: Addison-Wesley
Pages: 352
ISBN: 978-0136523567
Print: 0136523560
Kindle: ‎B08ZRTQGLJ
Audience: Software Architects
Rating: 3
Reviewer: Kay Ewbank

This book sets out the case for why software architecture is more important than ever, and in p [ ... ]


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