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

Abstract

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
Volume95
Issue number2
Publication statusPublished - 31 Jan 2017

Fingerprint

Simulation Framework
Agent-based Simulation
Process Simulation
Dynamic Process
Dynamic Simulation
Modeling
Agent-based Modeling
Customization
Agent-based Model
Simulation Modeling
Model
Crime
Registration
Simulation
Simulation Model
Students
Computer simulation

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

@article{0fda5bb4709e44eaa6aee2c4d7b7d088,
title = "A generic agent-based dynamic process simulation framework: A self-adaptive modelling approach",
abstract = "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.",
author = "Loo, {Yim Ling} and Tang, {Yee Chong} and Azhana Ahmad and Aida Mustapha",
year = "2017",
month = "1",
day = "31",
language = "English",
volume = "95",
pages = "340--351",
journal = "Journal of Theoretical and Applied Information Technology",
issn = "1992-8645",
publisher = "Asian Research Publishing Network (ARPN)",
number = "2",

}

A generic agent-based dynamic process simulation framework : A self-adaptive modelling approach. / Loo, Yim Ling; Tang, Yee Chong; Ahmad, Azhana; Mustapha, Aida.

In: Journal of Theoretical and Applied Information Technology, Vol. 95, No. 2, 31.01.2017, p. 340-351.

Research output: Contribution to journalArticle

TY - JOUR

T1 - A generic agent-based dynamic process simulation framework

T2 - A self-adaptive modelling approach

AU - Loo, Yim Ling

AU - Tang, Yee Chong

AU - Ahmad, Azhana

AU - Mustapha, Aida

PY - 2017/1/31

Y1 - 2017/1/31

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85011684965&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85011684965&partnerID=8YFLogxK

M3 - Article

VL - 95

SP - 340

EP - 351

JO - Journal of Theoretical and Applied Information Technology

JF - Journal of Theoretical and Applied Information Technology

SN - 1992-8645

IS - 2

ER -