Agent Oriented Methodology for Crime Modelling and Simulation
Cheah Wai Shiang1, Sim Yee Wai2, Nurfauzabt Jalia3, Muhammad Asyraf bin Khairuddin4
1Cheah Wai Shiang, Senior Lecturer, Faculty of Computer Science & IT, UNIMAS, Malaysia.
2Sim Yee Wai, Associate Professor, School of Computing and Creative Media, University College of Technology Sarawak, Malaysia.
3Nurfauzabt Jaliis, Lecturer, Faculty of Computer Science and Information Technology, UNIMAS, Malaysia.
4Muhammad Asyraf bin Khairuddin, Lecturer, Faculty of Computer Science & IT, UNIMAS, Malaysia.
Manuscript received on 21 August 2019 | Revised Manuscript received on 11 September 2019 | Manuscript Published on 17 September 2019 | PP: 1359-1365 | Volume-8 Issue-2S8 August 2019 | Retrieval Number: B10670882S819/2019©BEIESP | DOI: 10.35940/ijrte.B1067.0882S819
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Agent-oriented methodology (AOM) is a comprehensive and unified agent methodology for agent-oriented software development. The potential of Agent Oriented Methodology has been revealed in domains like collaborative technology, video surveillance, and economics. However, it has not been explored in crime modelling and simulation. Although AOM is claimed to be able to cope with a complex system development, it is still not yet determined up to what extent this may be true. Therefore, it is vital to investigate to validate this methodology. This paper investigates the adoption of AOM in crime modeling and simulation. The novelty of this paper is to introduce a systematic way to model crime simulation. Through the AOM simulation, it is proven that the AOM can model the complex system in crime domain with various outcomes which supported a few existing research theories such as routine activity theory. AOM can provide a wider research platform which is useful for translating theories and micro-level behavior into models and simulation that can be studied, shared, tested and enhanced.
Keywords: Agent-oriented Methodology, Agent Simulation, Crime Modelling, Simulation.
Scope of the Article: Network Modelling and Simulation