Description: From Deep Learning To Rational Machines: What the History of Philosophy Can Teach Us about the Future of Artificial Intelligence by Cameron J. Buckner (Oxford, Hardcover, 2024). 415 pages. Condition is Very Good in similar dust jacket; clean, firm binding, no writing or highlighting, no folded or torn pages. “From Deep Learning to Rational Machines: What the History of Philosophy Can Teach Us about the Future of Artificial Intelligence" by Cameron J. Buckner, published in 2024, explores the intersection of deep learning and classical empiricist philosophy. Buckner provides a framework for understanding foundational philosophical questions surrounding artificial intelligence, linking recent breakthroughs in deep learning to the ideas of historical figures like Aristotle, Ibn Sina (Avicenna), John Locke, David Hume, William James, and Sophie de Grouchy. The book illustrates how these historical philosophies can inform and enhance modern computational systems, offering valuable insights for both philosophers and computer scientists. We welcome all offers and inquiries, more photos and information available upon request. Shipped securely and promptly with USPS mail.
Price: 25 USD
Location: Austin, Texas
End Time: 2024-11-26T12:53:08.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
Narrative Type: Nonfiction
Features: Dust Jacket
Original Language: English
Country/Region of Manufacture: United States
Intended Audience: Adults, Young Adults
Edition: First Edition
Publisher: Oxford University Press, Incorporated
Topic: Mind & Body, Intelligence (Ai) & Semantics, Movements / Empiricism, General
Publication Year: 2023
Book Title: From Deep Learning to Rational Machines : What the History of Philosophy Can Teach Us about the Future of Artificial Intelligence
Number of Pages: 488 Pages
Language: English
Genre: Computers, Philosophy, Science
Author: Cameron J. Buckner
Format: Hardcover
