计算机应用研究2016，Vol.33Issue(6)：1689-1692,1707,5.DOI:10.3969/j.issn.1001-3695.2016.06.020
基于评价因子行为等级更新的多 agent 联盟效用分配策略
Multi-agent system coalition utility allocation strategy with evaluation factor behavior rating update
摘要
Abstract
In order to further strengthen the rationality of multi-agent system coalition a utility allocation and upgrade the sta-bility of formed coalition,this paper proposed a utility allocation strategy with evaluation factor behavior rating update.The new strategy introduced evaluation factor,quantified the behavioral factor depicted by behavior level to behavioral evaluation factor by established methodology,determined the ability of agent to complete the task as the capability evaluation factor.Fi-nally,the coalition utility allocation depended on the combination of these two factors,and updated the behavior level of agent by agent’s behavior simultaneously.Theoretical analysis and experiment show that the strategy achieves requirements of coali-tion formation mechanism,at the same time,improves the justice of utility.关键词
多 agent 系统/联盟/效用分配/评价因子Key words
multi-agent system(MAS)/coalition/utility allocation/evaluation factor分类
信息技术与安全科学引用本文复制引用
曹义亲,张政庭,黄晓生..基于评价因子行为等级更新的多 agent 联盟效用分配策略[J].计算机应用研究,2016,33(6):1689-1692,1707,5.基金项目
国家自然科学基金资助项目（61365008）；江西省自然科学基金资助项目（20142BAB207025）；国家教育部人文社科基金资助项目 （）
