Onto2MAS: An Ontology-Based Framework for Automatic Multi-Agent System Generation

Corentin Donzelli, Solomon Asres Kidanu, R. Chbeir, Yudith Cardinale
{"title":"Onto2MAS: An Ontology-Based Framework for Automatic Multi-Agent System Generation","authors":"Corentin Donzelli, Solomon Asres Kidanu, R. Chbeir, Yudith Cardinale","doi":"10.1109/SITIS.2016.67","DOIUrl":null,"url":null,"abstract":"Multi-Agent Systems (MASs) have received muchattention in recent years because of their advantages on modelingcomplex distributed systems. Current modeling languages andmethodologies that support the construction of such systemsrequire the use of different tools to complete their design, development, and deployment. However, the development of MASsremains a complicated task, which demands time and specialprogramming skills. This paper proposes a framework, calledOnto2MAS, to provide developers an automatic generation ofMASs, based on an ontology to assist the easy definition of agentsinteraction and knowledge. With Onto2MAS, the complexityof the development process of MASs is reduced and an easyway to design uniform communication, messages exchanging, and generation of new knowledge in the system is provided. Todemonstrate the efficiency of our approach, we also present theresults of the experimental tests that we conducted with a firstimplementation of Onto2MAS, called OnToJade.","PeriodicalId":403704,"journal":{"name":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 12th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SITIS.2016.67","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Multi-Agent Systems (MASs) have received muchattention in recent years because of their advantages on modelingcomplex distributed systems. Current modeling languages andmethodologies that support the construction of such systemsrequire the use of different tools to complete their design, development, and deployment. However, the development of MASsremains a complicated task, which demands time and specialprogramming skills. This paper proposes a framework, calledOnto2MAS, to provide developers an automatic generation ofMASs, based on an ontology to assist the easy definition of agentsinteraction and knowledge. With Onto2MAS, the complexityof the development process of MASs is reduced and an easyway to design uniform communication, messages exchanging, and generation of new knowledge in the system is provided. Todemonstrate the efficiency of our approach, we also present theresults of the experimental tests that we conducted with a firstimplementation of Onto2MAS, called OnToJade.
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
基于本体的多智能体系统自动生成框架
多智能体系统(MASs)由于其在复杂分布式系统建模方面的优势,近年来受到了广泛的关注。当前支持这种系统构建的建模语言和方法需要使用不同的工具来完成它们的设计、开发和部署。然而,mass的开发仍然是一项复杂的任务,需要时间和特殊的编程技能。本文提出了一个名为donto2mas的框架,为开发人员提供基于本体的质量自动生成,以帮助轻松定义代理的交互和知识。利用Onto2MAS,降低了MASs开发过程的复杂性,并提供了在系统中设计统一通信、消息交换和新知识生成的简便方法。为了证明我们方法的效率,我们还介绍了我们对Onto2MAS的第一个实现(称为OnToJade)进行的实验测试的结果。
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
Consensus as a Nash Equilibrium of a Dynamic Game An Ontology-Based Augmented Reality Application Exploring Contextual Data of Cultural Heritage Sites All-in-One Mobile Outdoor Augmented Reality Framework for Cultural Heritage Sites 3D Visual-Based Human Motion Descriptors: A Review Tags and Information Recollection
×
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