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Title

Adaptive negotiation with on-line prediction of opponent behaviour in agent-based negotiations

Author(s)

Brzostowski, Jakub;  Kowalczyk, Ryszard

Abstract

We propose an adaptive approach in agent-based negotiation involving on-line prediction of the opponent behaviour based on the parametric non-linear regression analysis. The predictive decision-making mechanism for the negotiation agent is based on the history of offers in the current negotiation encounter. In comparison to the related work the proposed approach allows the negotiation agents to predict more complex behaviour of the negotiation opponent in terms of mixture of its time-dependant and behaviour-dependant tactics. We perform experiments in order to validate the proposed approach. The results show that the predictive decision-making gives better results in terms of the utility gains for the adaptive negotiation agent as compared with a range of non-predictive negotiation strategies.

Publication type

Conference paper

Research centre

Swinburne University of Technology. Faculty of Information and Communication Technologies

Source

Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 06), Hong Kong, China, 18-22 December 2006, pp. 263-269

Publication year

2006

FOR Code(s)

0801 Artificial Intelligence and Image Processing

Publisher

IEEE

ISBN

9780769527482

Publisher URL

http://dx.doi.org/10.1109/IAT.2006.26

Copyright

Copyright © 2006 IEEE. Published version of the paper reproduced here in accordance with the copyright policy of the publisher. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Full text

Peer reviewed