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A regulative norms mining algorithm for complex adaptive system

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dc.citedby12
dc.contributor.authorMahmoud M.A.en_US
dc.contributor.authorAhmad M.S.en_US
dc.contributor.authorYusoff M.Z.M.en_US
dc.contributor.authorMostafa S.A.en_US
dc.contributor.authorid55247787300en_US
dc.contributor.authorid56036880900en_US
dc.contributor.authorid22636590200en_US
dc.contributor.authorid37036085800en_US
dc.date.accessioned2023-05-29T06:57:07Z
dc.date.available2023-05-29T06:57:07Z
dc.date.issued2018
dc.descriptionAdaptive systems; Soft computing; Complex adaptive systems; Exceptional events; Mining algorithms; Normative system; Norms identifications; Regulative norms; Social norm; Data miningen_US
dc.description.abstractIn complex adaptive system, a visitor agent is not usually and explicitly given the norms of its host agent. Thus, when it is not able to adapt the host agent�s norms, it is totally deprived of accessing resources and services from the host. Such circumstance severely affects its performance resulting in failure to achieve its goal. Consequently, this paper attempts to resolve the problem by enabling the agent to identify the host�s regulative norms via an algorithm called the Regulative Norms Mining Algorithm (RNMA). Regulative norms constitute the recommendation, obligation, and prohibition norms, which the RNMA identifies by analyzing exceptional events that trigger rewards or penalties. In this paper, we argue that existing norms identifications algorithms are inadequate to detect different regulative norm types. Consequently, we propose the RNMA algorithm, which could alleviate the problem. We demonstrate the merit of the algorithm by apply it on a typical scenario. � 2018, Springer International Publishing AG.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/978-3-319-72550-5_21
dc.identifier.epage224
dc.identifier.scopus2-s2.0-85041554080
dc.identifier.spage213
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85041554080&doi=10.1007%2f978-3-319-72550-5_21&partnerID=40&md5=7c86dfddcafe9af893ddf0646adebc1c
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/24221
dc.identifier.volume700
dc.publisherSpringer Verlagen_US
dc.sourceScopus
dc.sourcetitleAdvances in Intelligent Systems and Computing
dc.titleA regulative norms mining algorithm for complex adaptive systemen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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