Lưu ý: Hình bìa chỉ mang tính minh họa — không phải ảnh sách thực tế. Nội dung và bản quyền sách được đảm bảo chính hãng từ nhà xuất bản. Chợ Sách chỉ cam kết sách do người bán cung cấp là sách chính hãng; khiếu nại về bìa khác hình minh họa sẽ được xem xét từng trường hợp.
From Deep Learning to Rational Machines: What the History of Philosophy Can Teach Us about the Future of Artificial Intelligence
Tác giả: Cameron J. Buckner
Chi tiết sản phẩm
Mô tả nội dung sách From Deep Learning to Rational Machines: What the History of Philosophy Can Teach Us about the Future of Artificial Intelligence - Cameron J. Buckner
Thông tin sách: From Deep Learning to Rational Machines: What the History of Philosophy Can Teach Us about the Future of Artificial Intelligence (Kindle, 438 trang) – Oxford University Press, 2023. Ngôn ngữ: Tiếng Anh.
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 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 to mine 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 specific computational systems.Giá bán
Liên hệ
Đánh giá sản phẩm(9)
Sách cùng thể loại
Xem tất cả →
0Using AI in Academic Writing and Research: A Complete Guide to Effective and Ethical Academic AI (Palgrave Pivot)
Eldar Haber, Dariusz Jemielniak, Artur Kurasiński, Aleksandra Przegalińska
Liên hệ
0
0Embeddings in Natural Language Processing: Theory and Advances in Vector Representations of Meaning (Synthesis Lectures on Human Language Technologies)
Mohammad Taher Pilehvar, Jose Camacho-Collados
Liên hệ
0
0Head First JavaScript Programming: A Brain-Friendly Guide
Eric Freeman, Elisabeth Robson
584.000 ₫
0Code Complete
Steve McConnell
1.088.000 ₫
0The Architecture of “Society 5.0”: Six Key Factors for a People-Centric and Sustainable Smart City
Hitachi-UTokyo Laboratory (H-UTokyo Lab.)
1.967.000 ₫
0Database Systems: The Complete Book
Hector Garcia-Molina, Jeffrey Ullman, Jennifer Widom
8.740.000 ₫
9.177.000 ₫
0Philosophy and Computing: Essays in Epistemology, Philosophy of Mind, Logic, and Ethics (Philosophical Studies Series, 128)
Thomas M. Powers
Liên hệ
0
0Demystifying OWL for the Enterprise (Synthesis Lectures on Data, Semantics, and Knowledge)
Michael Uschold
Liên hệ
0
0Cross-Lingual Word Embeddings (Synthesis Lectures on Human Language Technologies)
Anders Søgaard, Ivan Vulić, Sebastian Ruder
Liên hệ
0
0Practical Game Design: A modern and comprehensive guide to video game design
Adam Kramarzewski, Ennio De Nucci
822.000 ₫
0Handbook of Computational Social Science for Policy
Eleonora Bertoni, Matteo Fontana, Lorenzo Gabrielli, Serena Signorelli, Michele Vespe
Liên hệ
0
0Cybersecurity and Identity Access Management
Bharat S. Rawal, Gunasekaran Manogaran, Alexender Peter
Liên hệ
0