Publication:
Obligation and Prohibition Norms Mining Algorithm for normative multi-agent systems

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dc.citedby20
dc.contributor.authorMahmoud M.A.en_US
dc.contributor.authorAhmad M.S.en_US
dc.contributor.authorAhmad A.en_US
dc.contributor.authorYusoff M.Z.M.en_US
dc.contributor.authorMustapha A.en_US
dc.contributor.authorHamid N.H.A.en_US
dc.contributor.authorid55247787300en_US
dc.contributor.authorid56036880900en_US
dc.contributor.authorid55390963300en_US
dc.contributor.authorid22636590200en_US
dc.contributor.authorid57200530694en_US
dc.contributor.authorid55419558500en_US
dc.date.accessioned2023-12-29T07:43:46Z
dc.date.available2023-12-29T07:43:46Z
dc.date.issued2013
dc.description.abstractCurrently, research in normative multi-agent systems focus on how a visitor or new agent detects and updates its host norms autonomously without being explicitly given by the host system. In this paper, we present our proposed algorithm to detect the obligation and prohibition norms which we called the Obligation and Prohibition Norms Mining algorithm (OPNM). The algorithm exploits the resources of the host system, implements data formatting, filtering, and extracting the exceptional events, i.e. those that entail rewards and penalties of the obligation and prohibition norms and identifies the ensuing normative protocol. In this work, we assume that an agent is aware of its environment and is able to reason about its surrounding events. We then demonstrate the operation of the algorithm by applying it on a typical scenario and analyzing the results. � 2013 The authors and IOS Press. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.3233/978-1-61499-254-7-115
dc.identifier.epage124
dc.identifier.scopus2-s2.0-84894653994
dc.identifier.spage115
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84894653994&doi=10.3233%2f978-1-61499-254-7-115&partnerID=40&md5=baa1b4b62164f56bac96733ab250662a
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/29958
dc.identifier.volume252
dc.pagecount9
dc.sourceScopus
dc.sourcetitleFrontiers in Artificial Intelligence and Applications
dc.subjectIntelligent Software Agents
dc.subjectNormative Protocol Identification
dc.subjectNorms Detection
dc.subjectNorms Mining
dc.titleObligation and Prohibition Norms Mining Algorithm for normative multi-agent systemsen_US
dc.typeConference paperen_US
dspace.entity.typePublication
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