Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

The Agent Object Relationship Simulation as a Business Process

The Agent Object Relationship Simulation as a Business Process
View Sample PDF
Author(s): Emilian Pascalau (Brandenburg University of Technology, Germany), Adrian Giuca (Brandenburg University of Technology, Germany) and Gerd Wagner (Brandenburg University of Technology, Germany)
Copyright: 2009
Pages: 23
Source title: Handbook of Research on Emerging Rule-Based Languages and Technologies: Open Solutions and Approaches
Source Author(s)/Editor(s): Adrian Giurca (Brandenburg Technology University at Cottbus, Germany), Dragan Gasevic (Athabasca University, Canada) and Kuldar Taveter (University of Melbourne, Australia)
DOI: 10.4018/978-1-60566-402-6.ch015


View The Agent Object Relationship Simulation as a Business Process on the publisher's website for pricing and purchasing information.


The use of agent-based simulation models is growing and attracted a lot of attention recently both for researchers and business management. Agent-Object Relationship (AOR) is an agent-based simulation paradigm that uses reaction rules to model agents’ behavior. The goal of this chapter, besides exemplifying the AOR concepts by means of a use case, is to investigate the use of business process modeling notation (BPMN) to model the AOR simulation process. Moreover it discusses aspects of a distributed architecture for an AOR simulation system. The chapter concludes with the fact that BPMN is well suited to model the AOR simulation process.

Related Content

Ruizhe Ma, Azim Ahmadzadeh, Soukaina Filali Boubrahimi, Rafal A Angryk. © 2019. 19 pages.
Zhen Hua Liu. © 2019. 25 pages.
Lubna Irshad, Zongmin Ma, Li Yan. © 2019. 25 pages.
Hao Jiang, Ahmed Bouabdallah. © 2019. 22 pages.
Gbéboumé Crédo Charles Adjallah-Kondo, Zongmin Ma. © 2019. 22 pages.
Safa Brahmia, Zouhaier Brahmia, Fabio Grandi, Rafik Bouaziz. © 2019. 20 pages.
Zhangbing Hu, Li Yan. © 2019. 20 pages.
Body Bottom