Abstract
Automated negotiations introduce a challenging research field that aims to enhance the performance and optimise several aspects of the electronic marketplace. This paper is concerned with the design and evaluation of negotia-tion strategies suitable for intelligent agents acting in Business-to-Consumer e-commerce environments. In order to minimize the cases where an agreement is not reached upon the expiration of its deadline, the client agent is enhanced with various function approximation techniques, which aim to predict the behaviour of the provider agent during the last negotiation rounds.
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Papaioannou, I., Roussaki, I., Anagnostou, M. (2011). Multi-modal Opponent Behaviour Prognosis in E-Negotiations. In: Cabestany, J., Rojas, I., Joya, G. (eds) Advances in Computational Intelligence. IWANN 2011. Lecture Notes in Computer Science, vol 6691. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21501-8_15
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DOI: https://doi.org/10.1007/978-3-642-21501-8_15
Publisher Name: Springer, Berlin, Heidelberg
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