From deep learning to rational machines : what the history of philosophy can teach us about the future of artificial intelligence /

This book explains how recent deep learning breakthroughs realized some of the most ambitious ideas of empiricist 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 show...

Ausführliche Beschreibung

Gespeichert in:
1. Verfasser:
Buckner, Cameron J.
Format:
Elektronisch E-Book
Sprache:
Englisch
Veröffentlicht:
New York, NY : Oxford University Press, 2023.
Zusammenfassung:
This book explains how recent deep learning breakthroughs realized some of the most ambitious ideas of empiricist 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.
Umfang:
1 online resource (301 pages)
Anmerkungen:
Also issued in print: 2023.
Zielpublikum:
Specialized.
Bibliografie:
Includes bibliographical references and index.
ISBN:
0-19-765333-2
0-19-765331-6
0-19-765332-4
Schlagworte:
Machine learning > Philosophy.
Computers and IT.
Graphical & digital media applications.
Bezugswerke:
Links: