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Traditional learning theories, process philosophy and AI

Katie Anderson, Vesselin Petrov · 2019

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About the book

Artificial intelligence research connected with learning theory ("deep learning," "machine learning," analysis of the quality of learning, etc.) has existed for many years; however, there have been few investigations in that area conducted from a robust philosophical methodological basis. 0This book provides such a basis with the help of Whitehead's cyclic learning theory and its process ontology, making it possible to integrate the dominant learning theories of our time. It is the outcome of a project sponsored by the Bulgarian National Science Fund.

Book details

Year
2019
Language
English
Publisher
Les Éditions Chromatika
Editions
1
Pages
220
ISBN
9782930517605

Data source: Wikidata

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