Strategy optimization for static games based on STP method

Liqing Wang; Yang Liu; Zhengguang Wu; Fuad E. Alsaadi; Fawaz E. Alsaadi

doi:10.1016/j.amc.2017.08.023

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Strategy optimization for static games based on STP method

Journal article

Peer reviewed

Strategy optimization for static games based on STP method

Liqing Wang, Yang Liu, Zhengguang Wu, Fuad E. Alsaadi and Fawaz E. Alsaadi

Applied mathematics and computation, Vol.316, pp.390-399

01/01/2018

DOI: https://doi.org/10.1016/j.amc.2017.08.023

Abstract

Mathematics

Mathematics, Applied

Physical Sciences

Science & Technology

In this paper, we consider the choice behavior of players in a static game and discuss solutions to static games of complete information problem via semi-tensor product (STP) method. Some properties of the dominant behaviors are obtained, based on which, choosing the dominant strategies deleting the dominated strategies are used to optimize the strategy sets so as to obtain solutions to the considered game. Examples are given to show the effectiveness of the results. (C) 2017 Elsevier Inc. All rights reserved.

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Title: Strategy optimization for static games based on STP method
Creators - without role: Liqing Wang - Zhejiang Normal University
Yang Liu - Zhejiang Normal University
Zhengguang Wu - Zhejiang University
Fuad E. Alsaadi - King Abdulaziz University
Fawaz E. Alsaadi - King Abdulaziz University
Publication Details: Applied mathematics and computation, Vol.316, pp.390-399
Publisher: Elsevier
Number of pages: 10
Grant note: 11671361 / National Natural Science Foundation of China; National Natural Science Foundation of China (NSFC) 20170901 / Open Foundation of Control Science and Engineering Disciplines at Zhejiang University of Technology 2016T90406; 2015M580378 / China Postdoctoral Science Foundation
Identifiers: 9939825108331
Academic Unit: King Abdulaziz University
Language: English
Resource Type: Journal article