An Empirical Analysis of New Perspectives for Strategy Solving in Intelligent Game-theoretic Decision-making

Authors

Jiongming Su, College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China
Junren Luo, 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

Abstract

Abstract: With the development of artificial intelligence technology, especially the promotion of largescale pre-training model theory, some new perspectives of strategy solving for intelligent game-theoretic decision-making have gradually been widely concerned and discussed. This paper combines the development of artificial intelligence technology and the transformation of strategy solving paradigm for intelligent game-theoretic decision-making, takes Chess (two-player zero-sum perfect information game), diplomacy (multi-player general-sum imperfect information game), and StarCraft Multi-Agent Challenge (multi-agent Markov game) as the research object for empirical analysis on sequential decision-making, the new paradigm and new way of strategy solving are analyzed according to the new perspective of artificial intelligence development. The key technologies of the intelligent game decision-making model are analyzed from three aspects: the decision grand model paradigm, the generative artificial intelligence model, the large model agent, which provides reference for the research of intelligent game theoretic decision-making under the new technology system.

Recommended Citation

Su, Jiongming; Luo, Junren; and Chen, Shaofei (2025) "An Empirical Analysis of New Perspectives for Strategy Solving in Intelligent Game-theoretic Decision-making," Journal of System Simulation: Vol. 37: Iss. 2, Article 4.
DOI: 10.16182/j.issn1004731x.joss.23-1180
Available at: https://dc-china-simulation.researchcommons.org/journal/vol37/iss2/4

First Page

345

Last Page

361

CLC

TP391

Recommended Citation

Su Jiongming, Luo Junren, Chen Shaofei. An Empirical Analysis of New Perspectives for Strategy Solving in Intelligent Game-theoretic Decision-making[J]. Journal of System Simulation, 2025, 37(2): 345-361.

DOI

10.16182/j.issn1004731x.joss.23-1180