Traditional Learning Theories, Process Philosophy and AI

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. Lire la suite

This 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.


Dr Vesselin Petrov holds an M.A. in mathematics (1977), a Ph.D. in philosophy (1989) and a D.Sc. in philosophy (2011). He is a Professor and the Director of the Institute for the Study of Societies and Knowledge at the Bulgarian Academy of Sciences. His fields of research include process-relational philosophy, metaphysics, ontology, applied ontology, philosophy of mathematics, and philosophy of education. He leads the team of the project "Synergy between process philosophy and elements of AI in the theory of learning" sponsored by the Bulgarian National Science Fund.”


Dr Katie Anderson holds a B.A. in philosophy (2010) from the University of Cambridge and a PhD in psychology (2017) from London Southbank University. Her PhD draws on Whitehead’s process-relational metaphysics and has given rise to two publications. She is currently a researcher in the field of mental health, working at St George’s University.


Livre broché - En anglais 24,00 €
PDF - En anglais 16,00 €

Spécifications


Éditeur
Chromatika
Auteur
Katie Anderson, Vesselin Petrov,
Collection
Phylopraxis
Langue
anglais
BISAC Subject Heading
PHI000000 PHILOSOPHY
Code publique Onix
06 Professionnel et académique
CLIL (Version 2013-2019 )
3080 SCIENCES HUMAINES ET SOCIALES, LETTRES
Date de première publication du titre
14 mai 2019

Livre broché


Date de publication
14 mai 2019
ISBN-13
9782930517605
Ampleur
Pages chiffres romains : 222
Code interne
99083
Format
16 x 24 cm
Poids
361 grammes
Prix
24,00 €
ONIX XML
Version 2.1, Version 3

PDF


Date de publication
14 mai 2019
ISBN-13
9782930517612
Code interne
EPUB99083
ONIX XML
Version 2.1, Version 3

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Sommaire


Preface
Vesselin Petrov & Katie Anderson
Introduction — Challenges in Education
Michel Weber
Process philosophical views on the theory of education
and learning: past, present and future
Vesselin Petrov 
Marvin Minsky on Knowledge, Learning, and Memory
Rosen Lutskanov
Why is Practical Knowledge Basic?
Marina Bakalova
Advances in the Development of a Whiteheadian Point of
View of Adaptive Education
Mincho Hadjiski
What is the Difference between a School and a Cloud?
Some Reflections on Peter Sloterdijk's Philosophy of
Education and Artificial Intelligence
Olivier Dubouclez
Whitehead and Kokinov. Some First Tentative Steps
towards Connecting Process Philosophy to AI Research
Franz Riffert

What can and cannot be learnt through AI: Whitehead’s
educational theory in connection with James’s theory of
self
Lina Georgieva
Embedding the assessment of emotion in the learning
process with AI-driven technologies
Rossitza Kaltenborn 
Incorporating Whitehead’s Basic Educational Concepts in
an Intelligent Learning Syste
M. Hadjiski, R. Kaltenborn & S. Koynov 
"Why Johnny Can’t Add" — Why, indeed
Engelsina Tasseva 
Table of Contents