Introducing Two Level Verification Model for Reduction of Uncertainty of Message Exchange in Inter Agent Communication in Organizational-Multi-Agent Systems Engineering, O-MaSE
{"title":"Introducing Two Level Verification Model for Reduction of Uncertainty of Message Exchange in Inter Agent Communication in Organizational-Multi-Agent Systems Engineering, O-MaSE","authors":"G. K. Shankhdhar, M. Darbari","doi":"10.9790/0661-1904020818","DOIUrl":null,"url":null,"abstract":"The last decade has seen tremendous advancements in the field of Multi-Agent Systems. Inter-agent communication is the most integral part of any MAS. The problem of impreciseness and obscurity in agent communication has been swelled with increasing complexity of MAS and deepened with the rise of heterogeneity and diversity in varied platforms of data storage. Another technology with parallel growth is the semantic theory, significantly contributing in providing meaning to expressions thereby reducing ambiguity. The authors here provide two layers of verification of messages. At first, a vocabulary of terms used in messages is constructed with the help of an ontology in OWL to diminish vagueness. Then at a higher level business organization rules contribute to another ontology defining the policies that orchestrate the MAS establishing the domain of organization. The O-MaSE is used as MAS design methodology. In this paper, extension to O-MaSE is provided through dual verification system.","PeriodicalId":91890,"journal":{"name":"IOSR journal of computer engineering","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IOSR journal of computer engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.9790/0661-1904020818","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
The last decade has seen tremendous advancements in the field of Multi-Agent Systems. Inter-agent communication is the most integral part of any MAS. The problem of impreciseness and obscurity in agent communication has been swelled with increasing complexity of MAS and deepened with the rise of heterogeneity and diversity in varied platforms of data storage. Another technology with parallel growth is the semantic theory, significantly contributing in providing meaning to expressions thereby reducing ambiguity. The authors here provide two layers of verification of messages. At first, a vocabulary of terms used in messages is constructed with the help of an ontology in OWL to diminish vagueness. Then at a higher level business organization rules contribute to another ontology defining the policies that orchestrate the MAS establishing the domain of organization. The O-MaSE is used as MAS design methodology. In this paper, extension to O-MaSE is provided through dual verification system.