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Norm-based behavior regulating technique for multi-agent in complex adaptive systems

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dc.citedby8
dc.contributor.authorMahmoud M.A.en_US
dc.contributor.authorAhmad M.S.en_US
dc.contributor.authorMostafa S.A.en_US
dc.contributor.authorid55247787300en_US
dc.contributor.authorid56036880900en_US
dc.contributor.authorid37036085800en_US
dc.date.accessioned2023-05-29T07:28:14Z
dc.date.available2023-05-29T07:28:14Z
dc.date.issued2019
dc.descriptionAdaptive systems; Multi agent systems; Virtual reality; Agent based simulation; Complex adaptive systems; Environmental variables; Neutral agents; Normative system; Norms detections; Social norm; Testing cycles; Autonomous agentsen_US
dc.description.abstractIn a complex adaptive system, norms are widely used to regulate agents' behavior within a society in which the agents are not explicitly given the norms of different host systems, but instead detect and adapt the norms autonomously. Thus, failing to adopt a host's norms resulting in deprived of accessing resources and services that would severely affect their performance. Few attempts have been made to overcome this problem but proposed solutions lack accuracy in identifying the norms of a domain. Consequently, this paper demonstrates a new effective technique called Regulative Norms Detection Technique (RNDT) to detect norms by analyzing odd events that trigger reward or penalty. Several tests have been conducted on agents exploiting the technique to detect norms in a virtual domain under varying environmental settings. The tests' results show that the RNDT achieve well although the rate of success relies on the environmental variables settings. Specifically, the result shows that the rate of adopting the domain's norms using RNDT is 78.0%. The rate of rewarded agents in three testing cycles increased from 30% to 70%, the rate of neutral agents also increased from 35% to 45%. The most noticeable change is in the penalty case in which 35% of agents are penalized in cycle 1, while in cycle 2 and 3 the rate is maintained at 0.0%. � 2013 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo8822680
dc.identifier.doi10.1109/ACCESS.2019.2939019
dc.identifier.epage126678
dc.identifier.scopus2-s2.0-85078001437
dc.identifier.spage126662
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85078001437&doi=10.1109%2fACCESS.2019.2939019&partnerID=40&md5=1169c50ae8d529cf98948e4a23e76b8b
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/24878
dc.identifier.volume7
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofAll Open Access, Gold
dc.sourceScopus
dc.sourcetitleIEEE Access
dc.titleNorm-based behavior regulating technique for multi-agent in complex adaptive systemsen_US
dc.typeArticleen_US
dspace.entity.typePublication
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