Abstract
One of the most important and complex aspects in Electronic Commerce is the automated negotiation between software agents. Most shopping assistance systems concentrate on price comparison agents or provide only the means to negotiating the price of articles. In our paper we present the model of an intelligent and adaptive software agent to support integrative negotiations of multiple interdependent properties of products. The agent is able to consider an arbitrary number of different properties whose values may be interdependent. Additionally, a ranking of the importance of the properties is maintained. Normalization of property values is an integral part of our model. The user does not need to transform desired values to abstract scales. Furthermore, normalization allows properties of different types to be the subject of one negotiation. Our agent can selectively act as a buyer or a seller of a product. The intelligent and adaptive behaviour throughout the negotiation is secured by a set of strategies, which determine the agent’s proposals and its reactions to its counterpart. The realization of these negotiation strategies is based on ideas adopted from the field of neural networks and vibrations theory.
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© 1999 Springer-Verlag Berlin Heidelberg
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Benn, W., Görlitz, O., Neubert, R. (1999). Enabling Integrative Negotiations by Adapitve Software Agents. In: Klusch, M., Shehory, O.M., Weiss, G. (eds) Cooperative Information Agents III. CIA 1999. Lecture Notes in Computer Science(), vol 1652. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48414-0_23
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DOI: https://doi.org/10.1007/3-540-48414-0_23
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