Traditional learning theories, process philosophy and AI
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Author
Publication
2019 - Les Éditions Chromatika, Louvain-la-Neuve, Belgium
Language
English
Word Count
55,000 words, Guess
Page Count
220 pages
Identifiers
- Open LibraryOL62288072M
- ISBN-139782930517605
- ISBN-102930517603
- OCLC Control Number1102600974
Classifications
- DDC370
Description
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.
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