A fuzzy framework for modelling confidence in multi-agent system

G. S. Basheer, M. S. Ahmad, Alicia Y. C. Tang
{"title":"A fuzzy framework for modelling confidence in multi-agent system","authors":"G. S. Basheer, M. S. Ahmad, Alicia Y. C. Tang","doi":"10.1109/ICIMU.2014.7066635","DOIUrl":null,"url":null,"abstract":"In open multi-agent systems, agents may hide or lie about information regarding some events. In order to avoid such deception, a multi-agent system must be designed to test the confidence of agents. In this paper, we present a new approach to agent-based confidence modeling. This approach integrates two confidence requirements, namely, trust and certainty. We use fuzzy logic in representing the importance of trust and certainty to model an agent's confidence reasoning. The modeling mechanism eliminates the influence of untrusted agents' opinions because certainty level and importance of trust may not be valuable in all circumstances.","PeriodicalId":408534,"journal":{"name":"Proceedings of the 6th International Conference on Information Technology and Multimedia","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 6th International Conference on Information Technology and Multimedia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIMU.2014.7066635","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In open multi-agent systems, agents may hide or lie about information regarding some events. In order to avoid such deception, a multi-agent system must be designed to test the confidence of agents. In this paper, we present a new approach to agent-based confidence modeling. This approach integrates two confidence requirements, namely, trust and certainty. We use fuzzy logic in representing the importance of trust and certainty to model an agent's confidence reasoning. The modeling mechanism eliminates the influence of untrusted agents' opinions because certainty level and importance of trust may not be valuable in all circumstances.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
多智能体系统置信度建模的模糊框架
在开放的多智能体系统中,智能体可能会隐藏或隐瞒有关某些事件的信息。为了避免这种欺骗,必须设计一个多智能体系统来测试智能体的置信度。本文提出了一种新的基于智能体的置信度建模方法。这种方法整合了两个信心要求,即信任和确定性。我们使用模糊逻辑来表示信任和确定性的重要性,对智能体的信心推理进行建模。由于信任的确定性水平和重要性可能在所有情况下都是有价值的,因此建模机制消除了不可信代理意见的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Copyright page Table of content (TOC) A data mining approach to analysing airborne wood particulate concentration and atmospheric data Mobile platform for exploring the potential of volunteered geographic information for asset register Web-based learning tool for primary school student with dyscalculia
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1