Agent Oriented Methodology for Crime Modelling and Simulation

Cheah, Wai Shiang and Sim, Yee Wai and Nurfauzabt, Binti Jalia and Muhammad Asyraf, Bin Khairuddin (2019) Agent Oriented Methodology for Crime Modelling and Simulation. International Journal of Recent Technology and Engineering, 8 (2S8). p. 1359. ISSN 2277-3878

[img] PDF
Nurfauzabt Jalia, Muhammad.pdf

Download (569kB)
Official URL:


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.

Item Type: Article
Additional Information: Information, Communication and Creative Technology
Uncontrolled Keywords: Agent-oriented methodology, agent simulation, crime modelling, simulation, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak.
Subjects: Q Science > QA Mathematics > QA76 Computer software
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User: Gani
Date Deposited: 23 Dec 2019 00:28
Last Modified: 29 Sep 2022 02:21

Actions (For repository members only: login required)

View Item View Item