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Towards a self-adaptive agent-based simulation model

Yim , Ling Loo and Tang, Alicia Yee Chong and Ahmad, Azhana and Mustapha, Aida (2016) Towards a self-adaptive agent-based simulation model. Journal of Theoretical and Applied Information Technology, 86 (2). ISSN 19928645

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Agent-based simulation (ABS) modelling has been a widely applied approach for simulating domainspecific 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.

Item Type: Article
Uncontrolled Keywords: Self-adaptive model; agent-based simulation model; processes simulation; extensive model; model reuse; replication
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Faculty of Computer Science and Information Technology > Department of Software Engineering
Depositing User: Mr. Mohammad Shaifulrip Ithnin
Date Deposited: 24 May 2017 07:56
Last Modified: 24 May 2017 07:56
URI: http://eprints.uthm.edu.my/id/eprint/8488
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