Abstract
The development of agent-based systems grants developers a way to help investors and organizations in building efficient business systems.
In order to obtain relevant, consistent and updated information across a business system, Business Intelligence (BI) philosophy is implemented which is based on maintaining accurate daily information to improve latency from decision making process. In such scenario, Agents are preferred due to their autonomy, mobility and reactivity.
This paper addresses the development of a web role-based Multi-Agent System (MAS) for implementing BI taking stock trading as a case study.
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References
Mike Biere, “Business Intelligence for the Enterprise”, Prentice Hall PTR, 2003.
N. R. Jennings, M. Wooldridge, eds., “Agent Technology: Foundations, Applications, and Markets”, Springer-Verlag, 1998.
G. Cabri, L. Ferrari, L. Leopardi, “Role-based Approaches for Agent Development”, Proceedings of the 3rd Conference on Autonomous Agents and Multi Agent Systems (AAMAS), New York, USA, July 2004.
Markowitz, H., “Portfolio selection: efficient diversification of investments”, Cambridge, MA: B. Blackwell, second edition, 1991.
Garcia, A., Gollapally, D., Tarau, P. and Simari, G., “Deliberative Stock Market Agents using Jinni and Defeasible Logic Programming”, Proc. Of the 14th European Conference on Artificial Intelligence, Workshop on Engineering Societies in the Agents’ World (ESAW’00), 2000.
Y. Luo, D.N. Davis, & K. Liu, “A Multi-Agent Decision Support System for Stock Trading” , The IEEE Network Magazine Special Issue on Enterprise Networking and Services, vol.16, No. 1, 2002.
Raju Tatikunta; Shahram Rahimi; Pranav Shrestha; Johan Bjursel, “TrAgent: A Multi-Agent System for Stock Exchange” , Proceeding of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2006.
The Egyptian Exchange (EGX), http://www.egyptse.com
Egypt For Information Dissemination (EGID),http://www.egidegypt.com
Stock Riders Simulation Game, http://www.stockriders.com
Bruce M. Kamich, “How Technical Analysis Works”, New York Institute of Finance, 2003.
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© 2010 Springer Science+Business Media B.V.
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Mabrouk, T.F., El-Sherbiny, M.M., Guirguis, S.K., Shawky, A.Y. (2010). A Multi-Agent Role-Based System for Business Intelligence. In: Sobh, T. (eds) Innovations and Advances in Computer Sciences and Engineering. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-3658-2_35
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DOI: https://doi.org/10.1007/978-90-481-3658-2_35
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