一种多智能体系统任务竞争模型及算法研究

致力于解决多智能体系统中的任务分配问题，基于社会生活中的竞争现象提出了一种多智能体竞争模型，同时提出了解决多智能体任务分配的详细算法．文章引入博弈论来研究存在相互外部约束条件下的个体选择问题．为了克服求解纳什均衡点的复杂性，本文采用了一步纳什均衡的方法．仿真结果证明了本模型的合理性和算法的有效性．

A Multi-agent System Task Competition Model and Algorithm Research

This paper is devoted to the problem of task allocation in multi-agent systems(MAS), and presents a model based on market competition to solve task allocation problem in the MAS. In addition, two algorithms are described in detail which generate reasonable solutions to the task allocation problem. We utilize game theory to analyze problems of conflict among interacting decision agents. In view of the complexity of calculating Nash equilibria points, one-step Nash equilibrium approach is adopted in the algorithms. Experimental results prove the rationality of the MAS model and the effectiveness of the algorithms presented.