基于评价因子行为等级更新的多agent联盟效用分配策略
为了进一步增强多agent联盟效用分配的合理性,提升联盟的稳定性,提出了一种基于评价因子行为等级更新的多agent联盟效用分配策略。该策略引入评价因子概念,将行为等级定性描述的agent行为因素通过既定方法量化为行为评价因子,agent完成任务的能力表示为能力评价因子,结合这两种评价因子对agent联盟的效用进行划分,并根据agent完成任务情况和是否存在欺骗行为对agent的行为等级进行更新。理论分析和分配实验表明,新策略在满足联盟形成机制的相关要求外,增强了多agent联盟中效用分配的合理性。...
Saved in:
| Published in | 计算机应用研究 Vol. 33; no. 6; pp. 1689 - 1692 |
|---|---|
| Main Author | |
| Format | Journal Article |
| Language | Chinese |
| Published |
华东交通大学 软件学院,南昌,330013
2016
|
| Subjects | |
| Online Access | Get full text |
| ISSN | 1001-3695 |
| DOI | 10.3969/j.issn.1001-3695.2016.06.020 |
Cover
| Summary: | 为了进一步增强多agent联盟效用分配的合理性,提升联盟的稳定性,提出了一种基于评价因子行为等级更新的多agent联盟效用分配策略。该策略引入评价因子概念,将行为等级定性描述的agent行为因素通过既定方法量化为行为评价因子,agent完成任务的能力表示为能力评价因子,结合这两种评价因子对agent联盟的效用进行划分,并根据agent完成任务情况和是否存在欺骗行为对agent的行为等级进行更新。理论分析和分配实验表明,新策略在满足联盟形成机制的相关要求外,增强了多agent联盟中效用分配的合理性。 |
|---|---|
| Bibliography: | 51-1196/TP multi-agent system(MAS); coalition; utility allocation; evaluation factor In order to further strengthen the rationality of multi-agent system coalition a utility allocation and upgrade the stability 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. Finally,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 coalition formation mechanism,at the same time,improves the justice of utility. Cao Yiqin, Zhang Zhengting, Huang Xiaosheng ( School of Software, East China Jiaotong University, Nanchang 330013, |
| ISSN: | 1001-3695 |
| DOI: | 10.3969/j.issn.1001-3695.2016.06.020 |