Research on Opponent Modeling Framework for Multi-agent Game Confrontation

Authors

Junren Luo, College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China;Follow
Wanpeng Zhang, College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China;Follow
Weilin Yuan, College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China;
Zhenzhen Hu, College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China;
Shaofei Chen, College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China;
Jing Chen, College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China;

Abstract

Abstract: As the key technology of multi-agent game confrontation, opponent modeling is a typical cognitive modeling method of agent's behavior. Several typical models of multi-agent game confrontation,non-stationary problems, and meta-game theory are introduced; opponent modeling methods that concludes the frontier theory of opponent modeling are summarized, and the applications and challenges are analyzed. Based on the theory of meta-game, a general opponent modeling framework is constructed with three modules: opponent policy recognition and generation, opponent policy space reconstruction,and opponent exploitation. It is expected to provide theoretical and methodological reference for opponent modeling in multi-agent game confrontation.

Recommended Citation

Luo, Junren; Zhang, Wanpeng; Yuan, Weilin; Hu, Zhenzhen; Chen, Shaofei; and Chen, Jing (2022) "Research on Opponent Modeling Framework for Multi-agent Game Confrontation," Journal of System Simulation: Vol. 34: Iss. 9, Article 4.
DOI: 10.16182/j.issn1004731x.joss.21-0363
Available at: https://dc-china-simulation.researchcommons.org/journal/vol34/iss9/4

First Page

1941

Revised Date

2021-06-30

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.21-0363

Last Page

1955

CLC

TP391.9

Recommended Citation

Junren Luo, Wanpeng Zhang, Weilin Yuan, Zhenzhen Hu, Shaofei Chen, Jing Chen. Research on Opponent Modeling Framework for Multi-agent Game Confrontation[J]. Journal of System Simulation, 2022, 34(09): 1941-1955.

Corresponding Author

Wanpeng Zhang,wpzhang@nudt.edu.cn

DOI

10.16182/j.issn1004731x.joss.21-0363