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2008

Predicting opponent's moves in electronic negotiations using neural networks

8 years 11 months ago
Predicting opponent's moves in electronic negotiations using neural networks
Electronic negotiation experiments provide a rich source of information about relationships between the negotiators, their individual actions, and the negotiation dynamics. This information can be effectively utilized by intelligent agents equipped with adaptive capabilities to learn from past negotiations and assist in selecting appropriate negotiation tactics. This paper presents an approach to modeling the negotiation process in a timeseries fashion using artificial neural network. In essence, the network uses information about past offers and the current proposed offer to simulate expected counteroffers. On the basis of the model's prediction, "whatif" analysis of counteroffers can be done with the purpose of optimizing the current offer. The neural network has been trained using the LevenbergMarquardt algorithm with Bayesian Regularization. The simulation of the predictive model on a testing set has very good and highly signifi...
Réal Carbonneau, Gregory E. Kersten, Rustam
Added 26 Dec 2010
Updated 26 Dec 2010
Type Journal
Year 2008
Where ESWA
Authors Réal Carbonneau, Gregory E. Kersten, Rustam M. Vahidov
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