Multi-modal opponent behaviour prognosis in E-negotiations

Authors:
Ioannis Papaioannou;Ioanna Roussaki;Miltiades Anagnostou
Affiliations:
Research and Academic Computer Technology Institute, Patras, Greece;School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece;School of Electrical and Computer Engineering, National Technical University of Athens, Athens, Greece
Venue:
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part I
Year:
2011

Citing 7
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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 negotiation strategies suitable for intelligent agents acting in Business-to-Consumer ecommerce 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.