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机构地区:[1]太原科技大学系统仿真与计算机应用研究所,太原030024
出 处:《太原科技大学学报》2006年第4期247-250,255,共5页Journal of Taiyuan University of Science and Technology
摘 要:在多主体合作时,承诺发挥着中心作用;然而在动态环境中,主体的承诺往往带有不确定性。如果主体在做计划时能够事先考虑到这些不确定性,那么将可以大大提高主体合作执行任务的效率。本文提出一些承诺中的不确定性,并采用模糊理论的方法表示和解决这些不确定。解决了在动态环境下难以给出精确数学模型的困扰;并且设计了一个主体协商模型来减少承诺的不确定性。Commitments play a central role in multiagent coordination. However, commitments of agent are uncerrain in dynamic environment. If agent could take these uncertainties into account during planning and scheduling in advance, the efficiency of performing tasks of agent in cooperation could be greatly improved. This paper presents some uncertainties in commitments, and the fuzzy theory is used to express and solve these uncertainties. Consequently, the disturbance that is hard to present accurate mathematical model has been solved. Meanwhile, a model of agent negotiation is designed to decrease uncertainties of commitments.
分 类 号:TP18[自动化与计算机技术—控制理论与控制工程]
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