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Arwa Ibrahim Ahmed

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Arwa Ibrahim Ahmed

WSEAS Transactions on Computers

Print ISSN: 1109-2750
E-ISSN: 2224-2872

Volume 17, 2018

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of WSEAS Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.

Multi Agent System for Continuously Improving Enterprise Performance

AUTHORS: Arwa Ibrahim Ahmed

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ABSTRACT: This paper examines the potential value of MAS technology to continuously improve enterprise capability to gain the highest performance level. In terms of contribution, it describes concepts and methodologies within the field of Multi-Agent Systems (MAS) that are appropriate to work with required performance levels. As well as presenting a comprehensive review of the meaningful framework for which MAS be investigated, it also defines the technical issues, which should be addressed in order to examine the current performance of the enterprise process, and test the level of quality suggest clear strategy to gain the optimization level using multi agent technology. We also uses the banking systems as a case study to prove the merits of the proposed MAS architecture and implementation methodology. Different categories of agents, their internal structures and functions are described. Programming solutions to MAS problems are modeled using the computation structure models since it includes data interactions among agents and the algorithm to implement the solution plan. Every solution plan should have a feedback to continuously monitoring and enhancing the target enterprise performance. Banking system is used to show the merits of using MAS to gain the required levels of performance.

KEYWORDS: Multi agent system, computation structure model, Quality assessment, Process improvement


[1] Yoav Shoham and Kevin Leyton-Brown, Multiagent Systems: Algorithmic, GameTheoretic, and Logical Foundations Cambridge University Press, 2009

[2] E. M. Davidson, S. D. J. McArthur, J. R. McDonald, T. Cumming, and Watt, ―Applying multi-agent system technology in practice: Automated management and analysis of SCADA and digital fault recorder data,‖ IEEE Trans. Power Syst., vol. 21, no. 2, pp. 559–567, May 2006.

[3] S. D. J. McArthur, S. M. Strachan, and G. Jahn,―The design of a multiagent transformer condition monitoring system,‖ IEEE Trans. Power Syst., vol. 19, no. 4, pp. 1845–1852, Nov. 2004.

[4] McArthur, S. D. J.; Davidson, E. M.; Catterson, V. M.; Dimeas, A. L.; Hatziargyriou, N. D.; Ponci, F.; Funabashi, T ―Multi-Agent Systems for Power Engineering Applications—Part I: Concepts, Approaches, and Technical Challenges IEEE Transactions on Power Systems, Vol. 22, no. 4, pp. 1743-1752, Nov. 2007.

[5] McArthur, S. D. J.; Davidson, E. M.; Catterson, V. M.; Dimeas, A. L.; Hatziargyriou, N. D.; Ponci, F.; Funabashi, T., ―Multi-Agent Systems for Power Engineering Applications—Part II: Technologies, Standards, and Tools for Building Multi-agent Systems,‖., IEEE Transactions on Power Systems, Vol. 22, no. 4, pp. 1753-1759, Nov. 2007.

[6] D. Koesrindartoto, S. Junjie, and L. Tesfatsion, ―An agent-based computational laboratory for testing the economic reliability of wholesale power market designs,‖ in Proc. IEEE Power Eng. Soc. General Meeting, 2005, Jun. 2005, pp. 931– 936.

[7] S Chowdhury; S P Chowdhury; P Crossley, Microgrids and active distribution networks, Steven age: Institution of Engineering and Technology, 2009.

[8] D P Buse; Q H Wu, ―IP network-based multi-agent systems for industrial automation: information management, condition monitoring and control of power systems,‖ London, Springer, 2007.

[9] Genc, Zulkuf; et al. (2013). 'Agent-based information infrastructure for disaster management'. Intelligent Systems for Crisis Management: 349–355.

[10] Ammar, Reda ―Hierarchical Performance Modeling and Analysis of Distributed Software‖, Chapter 12, Handbook of Parallel Computing: Models, Algorithms, and Applications, edited by S. Rajasekaran and J.H. Reif, Chapman & Hall/CRC Press, December 2007.

[11] Niazi, Muaz; Hussain, Amir (2011). 'Agent-based Computing from Multi-agent Systems to Agent-Based Models: A Visual Survey'. Scientometrics (Springer) 89 (2): 479–499. doi:10.1007/s11192-011-0468-9.

[12] Naveh, Isaac. 'Simulating Organizational Decision-Making Using a Cognitively Realistic Agent Model'. Journal of Artificial Societies and Social Simulation.

[13] bKubera, Yoann; Mathieu, Philippe; Picault, Sébastien (2010), 'Everything can be Agent!' (PDF), Proceedings of the ninth International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS'2010) (Toronto, Canada): 1547–1548

[14] Salamon, Tomas (2011). Design of AgentBased Models. Repin: Bruckner Publishing. p. 22. ISBN 978-80-904661-1-1.

[15] Giacomo Cabri ,Letizia Leonardi ,Franco Zambonelli ,'Mobile-Agent Coordination Models for Internet ' , IEEE , 2000.

[16] Panait, Liviu; Luke, Sean (2005). 'Cooperative Multi-Agent Learning: The State of the Art' (PDF). Autonomous Agents and Multi-Agent Systems 11 (3): 387–434. doi:10.1007/s10458-005-2631-2.

[17] Anderson, Thomas and Dahlin, Michael, Operating Systems: Principles and Practice, Recursive Books; 2 edition (August 21, 2014).

[18] Fabio Luigi Bellifemine, Giovanni Caire, Dominic Greenwood, ―Developing MultiAgent Systems with JADE‖, Wiley 2007.

[19] https://jade.tilab.com/papers/2003/WhiteP aperJADEEXP.pdf, and https://jade.tilab.com

WSEAS Transactions on Computers, ISSN / E-ISSN: 1109-2750 / 2224-2872, Volume 17, 2018, Art. #14, pp. 112-125

Copyright © 2018 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution License 4.0

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