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A computational model of a norm's yield

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dc.contributor.authorItaiwi A.-M.K.en_US
dc.contributor.authorAhmad M.S.en_US
dc.contributor.authorTang A.Y.C.en_US
dc.contributor.authorMahmoud M.A.en_US
dc.contributor.authorid55247272600en_US
dc.contributor.authorid56036880900en_US
dc.contributor.authorid36806985400en_US
dc.contributor.authorid55247787300en_US
dc.date.accessioned2023-05-29T06:39:36Z
dc.date.available2023-05-29T06:39:36Z
dc.date.issued2017
dc.descriptionComputation theory; Computational methods; Robotics; Computational model; Mining algorithms; norm benefits; norm yield; Normative agents; Norms detections; Reasoning ability; Multi agent systemsen_US
dc.description.abstractWhile several works have been conducted on norms detection and identification, almost non-existent work has explored the notion of norm's yield to trigger agents to adopt new norms. In other words, in most of the literature on norms, agents are not aware of the 'yield' or gain from the enacted norms. Instead, they use some mining algorithms to identify the norms from a set of observed events and subsequently adopting the norms without further analysis. Consequently, it would be interesting to look into agents that can deal with norm's yield. In this paper, we propose a computational model of a norm's yield. When an agent could measure a norm's yield, it would have greater reasoning ability about the norm's effects on its performance, which in turn trigger the agent to adopt or reject the norm. � 2016 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo7810014
dc.identifier.doi10.1109/ISAMSR.2016.7810014
dc.identifier.epage127
dc.identifier.scopus2-s2.0-85015008867
dc.identifier.spage124
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85015008867&doi=10.1109%2fISAMSR.2016.7810014&partnerID=40&md5=a47f2a1d4549df99227348e91c2a58ed
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23336
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitle2nd International Symposium on Agent, Multi-Agent Systems and Robotics, ISAMSR 2016
dc.titleA computational model of a norm's yielden_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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