Application of Game Theory to Neuronal Networks. (16th December 2009)

• Record Type: Journal Article
• Authors: Schuster, Alfons; Yamaguchi, Yoko
• Other Names: Sato Naoyuki Academic Editor.
• Is Part Of: Advances in artificial intelligence. Volume 2010(2010)
• Publication Date: 2009-12-16
• Subjects: Artificial intelligence -- Periodicals; Artificial intelligence; Periodicals; Electronic journals; 006.3
• DOI: 10.1155/2010/521606
• Languages: English
• ISSNs: 1687-7470

Abstract

Abstract : 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.