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Mathematical Problems in Engineering
Volume 2016 (2016), Article ID 5192423, 11 pages
Research Article

A New Decentralized Approach of Multiagent Cooperative Pursuit Based on the Iterated Elimination of Dominated Strategies Model

1Harbin Institute of Technology, Computer Science and Technology, Harbin 150001, China
2Department of Computer Science, University of Khenchela, 40000 Khenchela, Algeria

Received 20 June 2016; Revised 7 September 2016; Accepted 25 September 2016

Academic Editor: Vladimir Turetsky

Copyright © 2016 Mohammed El Habib Souidi and Songhao Piao. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Game Theory is a promising approach to acquire coalition formations in multiagent systems. This paper is focused on the importance of the distributed computation and the dynamic formation and reformation of pursuit groups in pursuit-evasion problems. In order to address this task, we propose a decentralized coalition formation algorithm based on the Iterated Elimination of Dominated Strategies (IEDS). This Game Theory process is common to solve problems requiring the withdrawal of dominated strategies iteratively. Furthermore, we have used the Markov Decision Process (MDP) principles to control the motion strategy of the agents in the environment. The simulation results demonstrate the feasibility and the validity of the given approach in comparison with different decentralized methods.