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How New Individuals Behave in a Heterogeneous Community: A Computational Approach to Norm Assimilation Using Agent-Based Systems

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dc.citedby5
dc.contributor.authorMahmoud M.en_US
dc.contributor.authorAhmad M.S.en_US
dc.contributor.authorMostafa S.en_US
dc.contributor.authorSubramainan L.en_US
dc.contributor.authorid55247787300en_US
dc.contributor.authorid56036880900en_US
dc.contributor.authorid37036085800en_US
dc.contributor.authorid57189089861en_US
dc.date.accessioned2023-05-29T08:08:37Z
dc.date.available2023-05-29T08:08:37Z
dc.date.issued2020
dc.descriptionComputation theory; Intelligent robots; Intelligent systems; Machine design; Software agents; Agent-based systems; Computational approach; Future designs; Human social interactions; Human society; Social groups; Social issues; Social norm; Social robotsen_US
dc.description.abstractHeterogeneous community entails a number of social groups that adopt similar/different social norms. In such community, new individuals who join a new social group should be able to decide with which group they could assimilate based on their capabilities/values/manners. Otherwise, they would be penalized by other members in the group for violating some norms which they cannot comply. Using this approach, software agents would have better reasoning in simulating human society. In this paper, the authors propose a norms assimilation theory, in which a new agent attempts to assimilate with a social group�s norms. This theory builds an approach to norm assimilation, analyzes the cases for an agent to decide to assimilate with a social group and develops a mathematical model to measure the assimilation cost and the agent�s ability. The approach is developed based on the agent�s internal belief about its ability and desire, and its external belief about the cost of assimilating with a number of social groups. The significance of this research is two-fold. Firstly, the study paves the way to future design of intelligent systems, i.e., software agents or robots, to closely mimic human social interactions. Secondly, the norm assimilation using agent-based system could be potentially utilized to simulate some social issues such as immigrants, new students, expatriate etc. The experiments that have been conducted demonstrate that an agent in the domain is able to calculate the assimilation cost and decide which social group to join. � 2020, The Editorial Office of JSSC & Springer-Verlag GmbH Germany.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/s11424-020-8097-0
dc.identifier.epage881
dc.identifier.issue4
dc.identifier.scopus2-s2.0-85089200156
dc.identifier.spage849
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85089200156&doi=10.1007%2fs11424-020-8097-0&partnerID=40&md5=a5ee2d5bc2b64ab8dba5052dd888a40c
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25370
dc.identifier.volume33
dc.publisherSpringer New York LLCen_US
dc.sourceScopus
dc.sourcetitleJournal of Systems Science and Complexity
dc.titleHow New Individuals Behave in a Heterogeneous Community: A Computational Approach to Norm Assimilation Using Agent-Based Systemsen_US
dc.typeArticleen_US
dspace.entity.typePublication
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