[1]叶小平,胡 苏.冲突环境下中立Agent群体趋向分析与预测[J].智能系统学报,2007,2(4):28-33.
YE Xiao-ping,HU Su.Analysis and prediction of behavioral trends in groups of Agents in conflict[J].CAAI Transactions on Intelligent Systems,2007,2(4):28-33.
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YE Xiao-ping,HU Su.Analysis and prediction of behavioral trends in groups of Agents in conflict[J].CAAI Transactions on Intelligent Systems,2007,2(4):28-33.
冲突环境下中立Agent群体趋向分析与预测
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
2
期数:
2007年第4期
页码:
28-33
栏目:
学术论文—人工智能基础
出版日期:
2007-08-25
- Title:
- Analysis and prediction of behavioral trends in groups of Agents in conflict
- 文章编号:
- 1673-4785(2007)04-0028-06
- 关键词:
- 冲突关系; 群体冲突; 中立状态Agent群体模型
- 分类号:
- TP18
- 文献标志码:
- A
- 摘要:
- 分布式智能系统基本研究领域之一就是多Agent系统.在MAS协作过程中冲突难以避免，在实际应用的许多情况下，冲突都是在群体层面展开，同时冲突双方都需要特别关注持中立态度Agent的未来发展导向，这在双方势均力敌情况下尤为重要.因此，根据已有信息，建立基于中立Agent群体的智能分析与计算模型，对中立群体可能的趋向进行必要评估和预测，在冲突研究与应用当中具有基本意义.通过对MAS中Agent相互关系的形式描述，引入中立Agent群体模型，建立了对中立Agent未来状态进行智能分析和预测的计算模式，并设计了相应算法和实验.理论分析和实验结果表明了所建立模型的合理性与有效性.
- Abstract:
- One of the basic research fields in distributed intel ligence is the multiAgent system (MAS). During cooperative interaction of agen ts in MAS, it is difficult to avoid conflicts among agents. These conflicts take place at the group level. Both sides of a conflict must pay special attention t o neutral Agents. Trends in their behaviors are particularly important if they a re potential competitors with similar strengths. This paper establishes a comput er model of neutral Agents based on group affinity. The model can evaluate and p redict the probable tendencies of members of neutral groups. We proposed a forma l description of the relationships among all Agents in the MAS, and then built a model of agent groups as well as a predictive and analytical model which may he lp anticipate future behavior of the neutral agents. To test this， an algorithm and experiment were designed. Both the theoretical analysis and experimental re sults prove the validity of the model.
- 参考文献/References:
-
［1］MICHAEL W.An introduction to multiAgen t systems［M］.New York:John Wiley & Sons,Inc,2002.
［2］PAWLAK Z. Rough sets［J］. International Journal of Computer and Informatio n Sciences, 1982，11: 341-356.
［3］PAWLAK Z.An inquiry into anatomy of conflicts［J］.Journal of Information Sciences,1998,109:65-78.
［4］PAWLAK Z.Some remarks on conflict analysis ［J］. European Journal of Oper ational Research（Elsevier）,2005,166:649-654.
［5］RAFAL D.Conflict Analysis, rough set mechods and applications［M］.New York ：a SpringerVerlag Company,2000.
［6］RAFAL D.Tezak rough set theory in conflict analysis［A］.JSAI 200 1 Workshops［C］.SpringerVerlag, 2001.
［7］TSAU Y L.Chinese wall security model and conflict analysis［A］.The 24th I EEE Computer Society International Computer Software and Applications Conference ［C］.Taipei，China，2000.
［8］TSAU Y L.Placing the Chinese walls on the boundary of conflicts analysis o f symmetric binary relations［A］.2002 Proceeding of the 26th Annual International Computer Software and Applications Conference［C］.［S.l.］,USA,20 02.
备注/Memo
收稿日期：2006-09-12.
基金项目：
国家自然科学基金资助项目（60673135）；
广东省自然科学基金资助项目（05003348）
作者简介：
叶小平，男，1955年生，副教授，博士，中国计算机协会高级会员，主要研究方向为分布式智能系统、数据库与知识发现，近年来在国内外刊物上发表学术论文30余篇.E-mail:mcsyxp@mail.sysu.edu.cn.
胡? 苏，女，1983年生，硕士研究生，主要研究方向为多Agent系统（MAS）、软计算与知识发现，发表学术论文4篇.
?E-mail:wasomayaw@163.com.
更新日期/Last Update:
2009-05-07