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Detecting Unsuccessful Automated Negotiation Threads When Opponents Employ Hybrid Strategies

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Book cover Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence (ICIC 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5227))

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Abstract

In artificial intelligence systems, building agents that negotiate on behalf of their owners aiming to maximise their utility is a quite challenging research field. In this paper, such agents are enhanced with techniques based on neural networks (NNs) to predict their opponents’ hybrid negotiation behaviour, thus achieving more profitable results. The NNs are used to early detect the cases where agreements are not achievable, supporting the decision of the agents to withdraw or not from the negotiation threads. The designed NN-assisted negotiation strategies have been evaluated via extensive experiments and are proven to be very useful.

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References

  1. Kraus, S.: Automated Negotiation and Decision Making in Multiagent Environments. In: Luck, M., Mařík, V., Štěpánková, O., Trappl, R. (eds.) ACAI 2001 and EASSS 2001. LNCS (LNAI), vol. 2086, pp. 150–172. Springer, Heidelberg (2001)

    Chapter  Google Scholar 

  2. Fasli, M., Shehory, O. (eds.): TADA/AMEC 2006. LNCS (LNAI), vol. 4452. Springer, Heidelberg (2007)

    Google Scholar 

  3. Lomuscio, A., Wooldridge, M., Jennings, N.: A Classification Scheme for Negotiation in Electronic Commerce. J. of Group Decision and Negotiation 12(1), 31–56 (2003)

    Article  Google Scholar 

  4. Rosenschein, J., Zlotkin, G.: Rules of Encounter: Designing Conventions for Automated Negotiation among Computers. MIT Press, Cambridge (1994)

    Google Scholar 

  5. Muller, H.: Negotiation principles. In: O’Hare, G., Jennings, N. (eds.) Foundations of Distributed Artificial Intelligence, pp. 211–229. John Wiley & Sons, New York (1996)

    Google Scholar 

  6. Li, H., Su, S., Lam, H.: On Automated E-Business Negotiations: Goal, Policy, Strategy, and Plans of Decision and Action. J. of Organizational Computing and Electronic Commerce 16(1), 1–29 (2006)

    Article  Google Scholar 

  7. Faratin, P., Sierra, C., Jennings, N.J.: Negotiation Decision Functions for Autonomous Agents. Int. J. of Robotics and Autonomous Systems 24(3-4), 159–182 (1998)

    Article  Google Scholar 

  8. Fei, Y., Wang, G.: Research on an Intelligent On-Line Negotiation System. In: IEEE International Conference on e-Business Engineering, pp. 722–728. IEEE Press, New York (2005)

    Google Scholar 

  9. Cranor, L.F., Resnick, P.: Protocols for Automated Negotiations with Buyer Anonymity and Seller Reputations. NETNOMICS Journal 2(1), 1–23 (2000)

    Article  Google Scholar 

  10. Brzostowski, J., Kowalczyk, R.: Predicting Partner’s Bahaviour in Agent Negotiation. In: 5th International Joint Conference on Autonomous Agents and Multi-Agent Systems, Session Argumentation and Negotiation, pp. 355–361. ACM, New York (2006)

    Google Scholar 

  11. Brzostowski, J., Kowalczyk, R.: Adaptive Negotiation with Online Prediction of Opponent Behaviour in Agent-based Negotiation. In: 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, pp. 263–269. IEEE Computer Society, Washington (2006)

    Chapter  Google Scholar 

  12. Raiffa, H.: The Art and Science of Negotiation. Harvard University Press, Cambridge (1982)

    Google Scholar 

  13. Pruitt, D.: Negotiation Behavior. Academic Press Inc., New York (1981)

    Google Scholar 

  14. Haykin, S.: Neural Networks: A Comprehensive Foundation, 2nd edn. Prentice Hall, London (1999)

    MATH  Google Scholar 

  15. Rau, H., Tsai, M., Chen, C., Shiang, W.: Learning-based Automated Negotiation between Shipper and Forwarder. J. of Computers and Industrial Engineering 51(3), 464–481 (2006)

    Article  Google Scholar 

  16. Carbonneau, R., Kersten, G., Vahidov, R.: Predicting Opponent’s Moves in Electronic Negotiations Using Neural Networks. In: International Conference of Group Decision and Negotiation (GDN 2006), Karlsruhe, Germany (2006)

    Google Scholar 

  17. Zeng, Z.M., Meng, B., Zeng, Y.Y.: An Adaptive Learning Method in Automated Negotiation. In: Yeung, D.S., Liu, Z.-Q., Wang, X.-Z., Yan, H. (eds.) ICMLC 2005. LNCS (LNAI), vol. 3930. Springer, Heidelberg (2006)

    Google Scholar 

  18. Oprea, M.: The Use of Adaptive Negotiation in Agent-Mediated Electronic Commerce. In: Mařík, V., Müller, J.P., Pěchouček, M. (eds.) CEEMAS 2003. LNCS (LNAI), vol. 2691, pp. 594–605. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  19. Roussaki, I., Papaioannou, I., Anagnostou, M.: Employing Neural Networks to Assist Negotiating Intelligent Agents. In: 2nd IEE International Conference on Intelligent Environ-ments 2006 (IE 2006), Athens, Greece (2006)

    Google Scholar 

  20. Papaioannou, I., Roussaki, I., Anagnostou, M.: Comparing the Performance of MLP and RBF Neural Networks Employed by Negotiating Intelligent Agents. In: IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2006), Hong Kong, China (2006)

    Google Scholar 

  21. Roussaki, I., Papaioannou, I., Anagnostou, M.: Building Automated Negotiation Strategies Enhanced by MLP and GR Neural Networks for Opponent Agent Behaviour Prognosis. In: Sandoval, F., Gonzalez Prieto, A., Cabestany, J., Graña, M. (eds.) IWANN 2007. LNCS, vol. 4507, pp. 152–161. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

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Authors and Affiliations

  1. School of Electrical and Computer Engineering, National Technical University of Athens, 9 Heroon Polytechneiou Str, 157-73, Athens, Greece

    Ioannis Papaioannou, Ioanna Roussaki & Miltiades Anagnostou

Authors
  1. Ioannis Papaioannou
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  2. Ioanna Roussaki
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  3. Miltiades Anagnostou
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Editor information

De-Shuang Huang Donald C. Wunsch II Daniel S. Levine Kang-Hyun Jo

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© 2008 Springer-Verlag Berlin Heidelberg

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Papaioannou, I., Roussaki, I., Anagnostou, M. (2008). Detecting Unsuccessful Automated Negotiation Threads When Opponents Employ Hybrid Strategies. In: Huang, DS., Wunsch, D.C., Levine, D.S., Jo, KH. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence. ICIC 2008. Lecture Notes in Computer Science(), vol 5227. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85984-0_4

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  • DOI: https://doi.org/10.1007/978-3-540-85984-0_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-85983-3

  • Online ISBN: 978-3-540-85984-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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