Abstract
This paper presents a fuzzy constraint based model for bilateral multi-attribute agent purchase negotiations in competitive trading environments. Fuzzy constraints are used to capture requirements and to express proposals. The proposed interaction protocol is a dialogue game protocol where argumentation is used as a key mechanism to improve agreements in contrast to other fuzzy constraint based models which are limited to quantitative offers and counter-offers. A set of locutions and decision mechanisms which fire them are fully specified, so that each agent may decide its degree of cooperation and its degree of expressiveness, which in turn may have effects on the quality of the agreement. The notions of similarity and expected valuations of products are used in order to design efficient decision mechanisms. An example of a purchase scenario and a summary of statistical tests are presented to demonstrate the proposed model.
This work has been supported by the Spanish Ministry of Science and Technology grant MCYT-TIC2003-09192-C11-05, and by the University of Alcalá grant UAH-PI-2003/001.
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López-Carmona, M.A., Velasco, J.R. (2007). A Fuzzy Constraint Based Model for Automated Purchase Negotiations. In: Fasli, M., Shehory, O. (eds) Agent-Mediated Electronic Commerce. Automated Negotiation and Strategy Design for Electronic Markets. TADA AMEC 2006 2006. Lecture Notes in Computer Science(), vol 4452. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72502-2_17
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DOI: https://doi.org/10.1007/978-3-540-72502-2_17
Publisher Name: Springer, Berlin, Heidelberg
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