Wong, K.Y.M., Lim, S.W. & Gao, Z. 2005, "Multi-agent Cooperation in Diverse Population Games", Advances in Neural Information Processing Systems, vol. 17, pp. 1521.
Our results indicate that self-learning dynamics of multi-player games has special characters. Compared with pairwise comparison dynamics and Moran process, it shows different effect on strategy evolution, such as promoting cooperation in collective risk games with large threshold. 展开 ...
Multi-agent systems can solve scientific issues related to complex systems that are difficult or impossible for a single agent to solve through mutual collaboration and cooperation optimization.In a multi-agent system,agents with a certain degree of autonomy generate complex interactions due to the cor...
A Review of Cooperation in Multi-agent Learningarxiv.org/abs/2312.05162 一、基本概念 Multi-Agent Learning: 研究多智能体如何在共享环境资源的情况下进行合作、适应和决策的算法。 两大分支:team-based MAL; mixed-motive MAL 分类:合作、博弈、混合型 二、MAL难点 多智能体导致不稳定性:在多智能体交互...
Multi-agent foraging is a popular benchmark to verify the effectiveness of different cooperation algorithm. Markov game based approaches were wildly used a... Y Wang,L Jie,M Wei - International Conference on Computational Intelligence & Security Workshops 被引量: 9发表: 2007年 A Study on Game ...
Forming coalitions is a generic means for cooperation: people, robots, web services, resources, firms; they can all improve their performance by joining forces. The use of coalitions has been successful in domains such as task allocations, sensor networks, and electronic marketplaces. Forming effici...
Multi-agent reinforcement learning in common interest and fixed sum stochastic games: An experimental study by Bab, Avraham, and Ronen I. Brafman. Journal of Machine Learning Research, 2008. Combining policy search with planning in multi-agent cooperation by Ma J, Cameron S. Robot Soccer World ...
Cooperation is necessary as a result of complementary skills and the interdependency present among agent actions and the inevitability of satisfying some success criteria. In a cooperative model, agents are collectively motivated or collectively interested; hence, they work to accomplis...
in the game elements of the agents' definition [6], their relations [7] and its communication protocols and cooperation mechanisms [8]. In fact, there are several related topics, paradigms or applications where the MAS are used for the control of automatic processes and dynamic systems [9],...
In their survey, the authors used game theory to create models of cooperative or competitive behaviors for individual or global optimization goals. The focus was on three aspects of cooperation and competition in multi-agent systems: cooperative optimization, cooperative games, and non-cooperative games...