Application of Game Theory to Neuronal Networks
Joint Authors
Yamaguchi, Yoko
Schuster, Alfons
Source
Advances in Artificial Intelligence
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2009-12-16
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Science
Abstract EN
The paper is a theoretical investigation into the potential application of game theoretic concepts to neural networks (natural and artificial).
The paper relies on basic models but the findings are more general in nature and therefore should apply to more complex environments.
A major outcome of the paper is a learning algorithm based on game theory for a paired neuron system.
American Psychological Association (APA)
Schuster, Alfons& Yamaguchi, Yoko. 2009. Application of Game Theory to Neuronal Networks. Advances in Artificial Intelligence،Vol. 2010, no. 2010, pp.1-12.
https://search.emarefa.net/detail/BIM-478364
Modern Language Association (MLA)
Schuster, Alfons& Yamaguchi, Yoko. Application of Game Theory to Neuronal Networks. Advances in Artificial Intelligence No. 2010 (2010), pp.1-12.
https://search.emarefa.net/detail/BIM-478364
American Medical Association (AMA)
Schuster, Alfons& Yamaguchi, Yoko. Application of Game Theory to Neuronal Networks. Advances in Artificial Intelligence. 2009. Vol. 2010, no. 2010, pp.1-12.
https://search.emarefa.net/detail/BIM-478364
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-478364