行为建模及其在多Agent系统中的应用

五行学说蕴含信息动力学,然而在网络中却一直未被很好地利用,为此提出一种基于五行原理的五行粒子模型方法来求解多Agent系统的分布式问题。五行粒子模型可以很好地描述和处理多Agent系统中Agent之间存在的随机、并发、多类型的交互行为。基于五行粒子模型内部存在的生克关系,以及五行自身蕴含的稳定性和平衡性,对五行粒子模型和多Agent系统分布式问题求解进行探讨,并对多Agent系统中的各个Agent进行行为建模,进而提出多Agent系统分布式问题求解的五行粒子模型算法。最后,通过实验验证了该算法的有效性。

Behavior Modeling and its Application in Multi-agent System

Five elements theory owns the informational dynamics,but it has not been used in current networks.This paper proposed a novel five elements particle model based on five elements theory,which can effectively solve distribution problem in multi-agent system.This model can describe and handle the random,parallel and multi-types coordination among Agents in multi-agent system.According to the relation of generation and control,and the inner stability and balance in five elements theory,we built a connection between the multi-agent system and five elements particle model.Meanwhile,the behaviors among Agents were well modeled,which is the prominent part in our five elements particle model algorithm.At last,we validated the effectiveness of our model through experiments.