Towards a self-adaptive agent-based simulation model

Agent-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 extens...

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Main Authors: Loo Y.L., Tang A.Y.C., Ahmad A., Mustapha A.
Other Authors: 57188931634
Format: Article
Published: Asian Research Publishing Network 2023
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spelling my.uniten.dspace-227422023-05-29T14:11:58Z Towards a self-adaptive agent-based simulation model Loo Y.L. Tang A.Y.C. Ahmad A. Mustapha A. 57188931634 36806985400 55390963300 57200530694 Agent-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. Final 2023-05-29T06:11:58Z 2023-05-29T06:11:58Z 2016 Article 2-s2.0-84964239610 https://www.scopus.com/inward/record.uri?eid=2-s2.0-84964239610&partnerID=40&md5=0a1457c81cba5c3c2563a53685da2adf https://irepository.uniten.edu.my/handle/123456789/22742 86 2 240 249 Asian Research Publishing Network Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Agent-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.
author2 57188931634
author_facet 57188931634
Loo Y.L.
Tang A.Y.C.
Ahmad A.
Mustapha A.
format Article
author Loo Y.L.
Tang A.Y.C.
Ahmad A.
Mustapha A.
spellingShingle Loo Y.L.
Tang A.Y.C.
Ahmad A.
Mustapha A.
Towards a self-adaptive agent-based simulation model
author_sort Loo Y.L.
title Towards a self-adaptive agent-based simulation model
title_short Towards a self-adaptive agent-based simulation model
title_full Towards a self-adaptive agent-based simulation model
title_fullStr Towards a self-adaptive agent-based simulation model
title_full_unstemmed Towards a self-adaptive agent-based simulation model
title_sort towards a self-adaptive agent-based simulation model
publisher Asian Research Publishing Network
publishDate 2023
_version_ 1806426171158560768
score 13.222552