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基于策略选择的Agent多议题协商优化
引用本文:陈亚楠.基于策略选择的Agent多议题协商优化[J].信息技术,2007,31(6):76-78,82.
作者姓名:陈亚楠
作者单位:中国人民银行海口中心支行科技处,海口,570105
摘    要:Agent和多Agent系统(Multi—Agent Syste璐,简称MAS)正在成为人工智能研究实用化和在分布计算环境下的软件智能化的重要技术。协商策略是Agent协商的一个重要问题,选择有效的策略,可以有效地提高协商的效率。提出了一个策略选择算法,并以此为基础,在协商模型中运用预测结果,对协商模型进行了优化,使Agent在协商过程中能根据自己的需要来缩短协商进程,同时获得合理的收益,提高协商过程的可控性。最后通过实验证明了工作的有效性。

关 键 词:多Agent协商  贝叶斯方法  策略  协商模型
文章编号:1009-2552(2007)06-0076-03
修稿时间:2006-12-25

Optimization based on strategy for Agent's multi-issue negotiation
CHEN Ya-nan.Optimization based on strategy for Agent''''s multi-issue negotiation[J].Information Technology,2007,31(6):76-78,82.
Authors:CHEN Ya-nan
Abstract:In recent years,Agent and multi-Agent system(MAS) is growing up to be one of the most important techniques in the practical research on artificial intelligence and intelligent software in distributed computing environment.Negotiation strategy is an important issue in the research of negotiation.An algorithm is presented about choosing strategy in this paper.Then,it also improves the negotiation model to enhance Agent's ultimately benefits according to the algorithm.The experimental results show that negotiation efficiency is better in the improved model.
Keywords:multi- Agent negotiation  Bayesian  strategy  negotiation model
本文献已被 CNKI 维普 万方数据 等数据库收录!
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