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

Yim Ling Loo, Yee Chong Tang, Azhana Ahmad, Aida Mustapha

Research output: Contribution to journalArticle


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.

Original languageEnglish
Pages (from-to)340-351
Number of pages12
JournalJournal of Theoretical and Applied Information Technology
Issue number2
Publication statusPublished - 31 Jan 2017

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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