一种改进的基于多Agent协作的任务分解算法

多Agent系统中，常常需要Agent之间的相互协作来完成动态环境中的复杂任务。以分析基于多Agent协作中任务分解为原则，提出一种进行任务分解的与或树和启发式算法相结合的方法，并对算法过程进行了详细的描述。为加强多Agent间的相互协作，提高任务完成效率奠定了基础。

The Improvement of the Algorithms for Task Decomposition Based on Multi-Agent Collaboration

In multi-agent systems,cooperations among agents are always needed to carry out sophisticated tasks in dynamic environment.The task decomposition principle is analyzed in this paper.The combination of"and/ or"tree method and a heuristic algorithm for task decomposition based on multi-Agent cooperation system is proposed,and algorithms process are described in detail.All of these might enhance the cooperation between multi-Agent and improve the efficiency of the tasks have been completed laid the foundation.