Workflow analysis for self-Adaptive agent-based simulation model

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In real-life environment, 80% of business processes are dynamic whereby each process is dependent on individual conditions of execution and at the same time contains a large amount of parameters that makes them difficult to model. A self-Adaptive, agent-based simulation model for dynamic processes enables reduction of costs, resources and efforts in designing new models. This paper presents a workflow for modelling dynamic processes that consist of key parameters needed for the design and refinement of the simulation model, which are data collection and data analysis. Three dynamic processes are chosen as case studies; crime investigation, new student registration, and transportation requests processes. The workflow of each case study is analyzed using cross-case analysis, directed approach, and grounded theory. The findings showed similarity of key parameters shared by three dynamic processes and thus required to refine the self-Adaptive agent-based simulation model.

Original languageEnglish
Title of host publication2nd International Symposium on Agent, Multi-Agent Systems and Robotics, ISAMSR 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages16-21
Number of pages6
ISBN (Electronic)9781509051502
DOIs
Publication statusPublished - 06 Jan 2017
Event2nd International Symposium on Agent, Multi-Agent Systems and Robotics, ISAMSR 2016 - Bangi, Malaysia
Duration: 23 Aug 201624 Aug 2016

Publication series

Name2nd International Symposium on Agent, Multi-Agent Systems and Robotics, ISAMSR 2016

Other

Other2nd International Symposium on Agent, Multi-Agent Systems and Robotics, ISAMSR 2016
CountryMalaysia
CityBangi
Period23/08/1624/08/16

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All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications

Cite this

Loo, Y. L., Tang, Y. C., Ahmad, A., & Mustapha, A. (2017). Workflow analysis for self-Adaptive agent-based simulation model. In 2nd International Symposium on Agent, Multi-Agent Systems and Robotics, ISAMSR 2016 (pp. 16-21). [7809996] (2nd International Symposium on Agent, Multi-Agent Systems and Robotics, ISAMSR 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISAMSR.2016.7809996