Volume 3 Number 6 (Dec. 2013)
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IJEEEE 2013 Vol.3(6): 472-476 ISSN: 2010-3654
DOI: 10.7763/IJEEEE.2013.V3.281

Business Modeling of Enterprise Architecture Based on Multi-Agent System

Mohammed Berrada and Bouchaib Bounabat
Abstract— The enterprise architecture (EA) purpose is to provide a clear and comprehensive picture of the structure of an entity, either an organizational or a functional or a mission area. It is an essential tool for effectively and efficiently engineering business processes and for implementing and evolving supporting systems. The methods, approaches, languages for developing and describing EA, such as The Open Group Architecture Framework, acknowledge the importance of business modeling in the development of EAs. Business modeling support is needed to specify and document EA components and their relationships. Multi-agent Systems (MAS) are composed of autonomous agents that interact and coordinate to achieve their intentions. This makes them particularly adapted to modeling complex information systems composed of both human and software actors. In this paper we propose a new approach for EA Business modeling using two concepts: (1) The Multi-Agent Reactive Decisional System (MARDS) Model for specifying and implementing the EA components and their relationships; and (2) the Business Process Management (BPM) concepts for modeling and simulation of EA processes.

Index Terms— Business modeling, enterprise architecture, enterprise architecture modeling, multi-agent system.

Mohammed Berrada is with the ENSAF (National School of Applied Sciences of Fez), LSIS Laboratory, Sidi Mohamed ben Abdellah University, Fez, Morocco (email: mohammed-berrada@usmba.ac.ma).
Bouchaib Bounabat is with the ENSIAS, Al-Qualsadi Research & Development Team , Université Mohammed V – Souissi Rabat, Morocco (email: bounabat@ensias.ma).

Cite: Mohammed Berrada and Bouchaib Bounabat, " Business Modeling of Enterprise Architecture Based on Multi-Agent System," International Journal of e-Education, e-Business, e-Management and e-Learning vol. 3, no. 6, pp. 472-476, 2013.

General Information

ISSN: 2010-3654 (Online)
Abbreviated Title: Int. J. e-Educ. e-Bus. e-Manag. e-Learn.
Frequency: Quarterly
Editor-in-Chief: Prof. Kuan-Chou Chen
Executive Editor: Ms. Nancy Lau
Abstracting/ Indexing: EBSCO, Google Scholar, Electronic Journals Library, QUALIS, ProQuest, INSPEC (IET)
E-mail: ijeeee@iap.org
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