MAS中建立对手模型,并进行意图和规划识别是有效交互的必要条件.BDI是描述思维的有效手段,可用来建立通用的对手思维状态模型.当前对手模型的研究偏重于对单一行为结果的推断,不能充分表示并发多意图及其关系,也不利于实时地的为决策提供支持.提出的基于BDI建立通用对手Agent模型的算法改进了Anand S.Rao和Milind Tambe等人有代表性的研究成果.
Developing on opponent model, recognizing intentions and plans are necessary for effective communication in MAS. BDI is an effective way to describe mental state, which can be used to develop a generic opponent mental state model. As current research on the opponent mode focus on implications from unilateral action, they neither express simultaneous intentions and other relations, nor provide support to making decisions making at real time. A generic opponent agent model based on BDI developed in this paper improves the research done by AnandS.Rao and Milind Tamde.