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Towards a self-adaptive agent-based simulation model

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dc.citedby3
dc.contributor.authorLoo Y.L.en_US
dc.contributor.authorTang A.Y.C.en_US
dc.contributor.authorAhmad A.en_US
dc.contributor.authorMustapha A.en_US
dc.contributor.authorid57188931634en_US
dc.contributor.authorid36806985400en_US
dc.contributor.authorid55390963300en_US
dc.contributor.authorid57200530694en_US
dc.date.accessioned2023-05-29T06:11:58Z
dc.date.available2023-05-29T06:11:58Z
dc.date.issued2016
dc.description.abstractAgent-based simulation (ABS) modelling has been a widely applied approach for simulating domain-specific phenomena. Currently, parameters and environments are simulated by a domain-specific model that is strictly used proprietarily by the ABS model developer. This causes inflexibility towards extension of the developed ABS model, which will further result in difficulties for validation and verification of the robustness and reliability of the ABS model. To address this issue, this paper proposes a self-adaptive ABS model that is capable of modelling cross-domain phenomena by selecting the required parameters based on the environment. The capability to self-adapt will allow the model to be easily extended and replicated. The self-adapt capability is enabled by a governing algorithm within the model and is conceptually illustrated through a case study of crime report process ABS modelling. � 2005 - 2016 JATIT & LLS. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.epage249
dc.identifier.issue2
dc.identifier.scopus2-s2.0-84964239610
dc.identifier.spage240
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84964239610&partnerID=40&md5=0a1457c81cba5c3c2563a53685da2adf
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22742
dc.identifier.volume86
dc.publisherAsian Research Publishing Networken_US
dc.sourceScopus
dc.sourcetitleJournal of Theoretical and Applied Information Technology
dc.titleTowards a self-adaptive agent-based simulation modelen_US
dc.typeArticleen_US
dspace.entity.typePublication
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