A New Decentralized Approach of Multiagent Cooperative Pursuit Based on the Iterated Elimination of Dominated Strategies Model
Joint Authors
Souidi, Mohammed El Habib
Piao, Songhao
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-10-30
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Souidi, Mohammed El Habib& Piao, Songhao. 2016. A New Decentralized Approach of Multiagent Cooperative Pursuit Based on the Iterated Elimination of Dominated Strategies Model. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1112289
Modern Language Association (MLA)
Souidi, Mohammed El Habib& Piao, Songhao. A New Decentralized Approach of Multiagent Cooperative Pursuit Based on the Iterated Elimination of Dominated Strategies Model. Mathematical Problems in Engineering No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1112289
American Medical Association (AMA)
Souidi, Mohammed El Habib& Piao, Songhao. A New Decentralized Approach of Multiagent Cooperative Pursuit Based on the Iterated Elimination of Dominated Strategies Model. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1112289
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112289