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

Yim , Ling Loo and Tang, Alicia Y. C. and Ahmad, Azhana and Mustapha, Aida (2017) A generic agent-based dynamic process simulation framework: a self-adaptive modelling approach. Journal of Theoretical and Applied Information Technology, 95 (2). pp. 340-351. ISSN 18173195

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Official URL: http://www.jatit.org/volumes/Vol95No2/11Vol95No2.p...

Abstract

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 selfadaptive modelling component in the framework.

Item Type:Article
Uncontrolled Keywords:Agent-based simulation model; self-adaptive modelling; dynamic processes; generic agentbased simulation framework; case study
Subjects:Q Science > QA Mathematics > QA76 Computer software
Divisions:Faculty of Computer Science and Information Technology > Department of Software Engineering
ID Code:9368
Deposited By:Mr. Mohammad Shaifulrip Ithnin
Deposited On:13 Aug 2018 11:15
Last Modified:13 Aug 2018 11:15

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