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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2023
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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 |
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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. |
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57188931634 |
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57188931634 Loo Y.L. Tang A.Y.C. Ahmad A. Mustapha A. |
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Article |
author |
Loo Y.L. Tang A.Y.C. Ahmad A. Mustapha A. |
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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 |
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13.214268 |