A generic agent-based dynamic process simulation framework: A self-adaptive modelling approach

Agent-based simulation (ABS) modelling had been a prevalent approach in simulating dynamic processes for a variety of domains. However, the constructed models are usually domain-specific in nature. The proprietary issue of existing modelling approaches limit the possibilities of reusing those constr...

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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-233152023-05-29T14:39:25Z A generic agent-based dynamic process simulation framework: A self-adaptive modelling approach Loo Y.L. Tang A.Y.C. Ahmad A. Mustapha A. 57188931634 36806985400 55390963300 57200530694 Agent-based simulation (ABS) modelling had been a prevalent approach in simulating dynamic processes for a variety of domains. However, the constructed models are usually domain-specific in nature. The proprietary issue of existing modelling approaches limit the possibilities of reusing those constructed models in other application domains. Such limitation also poses issues in model extensibility and customization. Thus, this paper presents a generic ABS framework with self-adaptive modelling approach to address the aforesaid limitations. In the ABS framework, self-adaptive modelling architecture supports construction and re-construction of models autonomously. Simulations were conducted for a few dynamic processes derived from two case studies of New Student Registration and Crime Investigation. Simulation results show that different ABS models were successfully developed, extended and customized by the self-adaptive modelling component in the framework. � 2005 - 2017 JATIT & LLS. All rights reserved. Final 2023-05-29T06:39:25Z 2023-05-29T06:39:25Z 2017 Article 2-s2.0-85011684965 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011684965&partnerID=40&md5=655af4ec3693b9931bfe233221dd1835 https://irepository.uniten.edu.my/handle/123456789/23315 95 2 340 351 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 had been a prevalent approach in simulating dynamic processes for a variety of domains. However, the constructed models are usually domain-specific in nature. The proprietary issue of existing modelling approaches limit the possibilities of reusing those constructed models in other application domains. Such limitation also poses issues in model extensibility and customization. Thus, this paper presents a generic ABS framework with self-adaptive modelling approach to address the aforesaid limitations. In the ABS framework, self-adaptive modelling architecture supports construction and re-construction of models autonomously. Simulations were conducted for a few dynamic processes derived from two case studies of New Student Registration and Crime Investigation. Simulation results show that different ABS models were successfully developed, extended and customized by the self-adaptive modelling component in the framework. � 2005 - 2017 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.
A generic agent-based dynamic process simulation framework: A self-adaptive modelling approach
author_sort Loo Y.L.
title A generic agent-based dynamic process simulation framework: A self-adaptive modelling approach
title_short A generic agent-based dynamic process simulation framework: A self-adaptive modelling approach
title_full A generic agent-based dynamic process simulation framework: A self-adaptive modelling approach
title_fullStr A generic agent-based dynamic process simulation framework: A self-adaptive modelling approach
title_full_unstemmed A generic agent-based dynamic process simulation framework: A self-adaptive modelling approach
title_sort generic agent-based dynamic process simulation framework: a self-adaptive modelling approach
publisher Asian Research Publishing Network
publishDate 2023
_version_ 1806425801020669952
score 13.214268