Katie Anderson
Traditional learning theories, process philosophy and AI
Katie Anderson, Vesselin Petrov · 2019
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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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