Neural Network to Solve Concave Games. (10th March 2014)

• Record Type: Journal Article
• Authors: Liu, Zixin; Wang, Nengfa
• Other Names: Thalmann Daniel Academic Editor.
• Is Part Of: International journal of computer games technology. Volume 2014(2014)
• Publication Date: 2014-03-10
• Subjects: Computer games -- Design -- Periodicals; Computer games -- Programming -- Periodicals; Jeux d'ordinateur; Jeux d'ordinateur -- Programmation; Computer games -- Design; Computer games -- Programming; Electronic journals; Periodicals; 794.81
• DOI: 10.1155/2014/249721
• Languages: English
• ISSNs: 1687-7047

Abstract

Abstract : The issue on neural network method to solve concave games is concerned. Combined with variational inequality, Ky Fan inequality, and projection equation, concave games are transformed into a neural network model. On the basis of the Lyapunov stable theory, some stability results are also given. Finally, two classic games' simulation results are given to illustrate the theoretical results.