From Deep Learning to Rational Machines: What the History of Philosophy Can Teach Us about the Future of Artificial Intelligence - Cameron J. Buckner

Descriere YEO:

From Deep Learning to Rational - Disponibil la libris.ro

Pe YEO găsești From Deep Learning to Rational de la Cameron J. Buckner, în categoria Philosophy.

Indiferent de nevoile tale, From Deep Learning to Rational Machines: What the History of Philosophy Can Teach Us about the Future of Artificial Intelligence - Cameron J. Buckner din categoria Philosophy îți poate aduce un echilibru perfect între calitate și preț, cu avantaje practice și moderne.

Preț: 274.86 Lei

Caracteristicile produsului From Deep Learning to Rational

• Brand: Cameron J. Buckner
• Categoria: Philosophy
• Magazin: libris.ro
• Ultima actualizare: 25-10-2024 01:12:27

Comandă From Deep Learning to Rational Online, Simplu și Rapid

Prin intermediul platformei YEO, poți comanda From Deep Learning to Rational de la libris.ro rapid și în siguranță. Bucură-te de o experiență de cumpărături online optimizată și descoperă cele mai bune oferte actualizate constant.

Descriere magazin:
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.