Adopting Agent Oriented Methodology (AOM) For Modelling and Simulation in Epidemiology and Ecological Studies

Authors

  • Cheah Wai Shiang Faculty of Computer Science & IT, Universiti Malaysia Sarawak
  • Shane Nissom Faculty of Computer Science & IT, Universiti Malaysia Sarawak
  • Nurfauza Jali Faculty of Computer Science & IT, Universiti Malaysia Sarawak
  • Sim YeeWai School of Computing, University College of Technology Sarawak

Keywords:

Agent Oriented Modeling, Agent Modeling, Agent Simulation, Software Development,

Abstract

AOM (Agent Oriented Modeling) is a comprehensive and unified agent methodology for agent oriented software development. AOM methodology was proposed to aid developers with the introduction of technique, terminology, notation and guideline during agent systems development. Although AOM methodology is claimed to be capable of developing a complex real-world system, its potential is yet to be realized and recognized by the mainstream software community and the adoption of AOM is still in its infancy. Among the reason is that there are not much case studies or success story of AOM. This paper presents two case studies on the adoption of AOM for individual-based modelling and simulation. It demonstrates how the AOM is useful for epidemiology study and ecological study. Hence, it further validates the AOM in a qualitative manner.

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Published

2017-09-15

How to Cite

Shiang, C. W., Nissom, S., Jali, N., & YeeWai, S. (2017). Adopting Agent Oriented Methodology (AOM) For Modelling and Simulation in Epidemiology and Ecological Studies. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(2-11), 151–158. Retrieved from https://jtec.utem.edu.my/jtec/article/view/2754

Issue

Vol. 9 No. 2-11: The Challenge of Computer and Engineering in Building Sustainable Service Systems I

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Articles

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