Learning Business Strategies for Competitive Electronic Marketplaces

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http://doi.ieeecomputersociety.org/10.1109/AINAW.2007.219

21st International Conference on Adva ...

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	Isabel Praca, Maria Joao Viamonte, Carlos Ramos, Zita Vale, "Learning Business Strategies for Competitive Electronic Marketplaces," Advanced Information Networking and Applications Workshops, International Conference on, vol. 2, pp. 611-616, 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07), 2007.

	BibTex	x
	@article{ 10.1109/AINAW.2007.219, author = {Isabel Praca and Maria Joao Viamonte and Carlos Ramos and Zita Vale}, title = {Learning Business Strategies for Competitive Electronic Marketplaces}, journal ={Advanced Information Networking and Applications Workshops, International Conference on}, volume = {2}, year = {2007}, isbn = {0-7695-2847-3}, pages = {611-616}, doi = {http://doi.ieeecomputersociety.org/10.1109/AINAW.2007.219}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Advanced Information Networking and Applications Workshops, International Conference on TI - Learning Business Strategies for Competitive Electronic Marketplaces SN - 0-7695-2847-3 SP611 EP616 A1 - Isabel Praca, A1 - Maria Joao Viamonte, A1 - Carlos Ramos, A1 - Zita Vale, PY - 2007 KW - null VL - 2 JA - Advanced Information Networking and Applications Workshops, International Conference on ER -

Isabel Praca, Institute of Engineering of Porto, Portugal

Maria Joao Viamonte, Institute of Engineering of Porto, Portugal

Carlos Ramos, Institute of Engineering of Porto, Portugal

Zita Vale, Institute of Engineering of Porto, Portugal

This paper presents a Multi-Agent Market simulator designed for developing new agent market strategies based on a complete understanding of buyer and seller behaviors, preference models and pricing algorithms, considering user risk preferences and game theory for scenario analysis.

This tool studies negotiations based on different market mechanisms and, time and behavior dependent strategies. The results of the negotiations between agents are analyzed by data mining algorithms in order to extract rules that give agents feedback to improve their strategies.

The system also includes agents that are capable of improving their performance with their own experience, by adapting to the market conditions, and capable of considering other agent reactions.

Citation:

Isabel Praca, Maria Joao Viamonte, Carlos Ramos, Zita Vale, "Learning Business Strategies for Competitive Electronic Marketplaces," ainaw, vol. 2, pp.611-616, 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW'07), 2007

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