Abstract
Finding adequate negotiation strategy with incomplete information, even in one to one negotiation, is a complex problem. Inspired from research works aiming to analyze human behavior and those on social negotiation psychology, integration of psychological aspects, with essential time parameter, is becoming necessary. For this purpose, first, one to one bargaining process, in which a buyer agent and a seller agent negotiate over single issue (price), is developed, where social and cognitive behaviors based on time (Faratin et al. 1998) and personality aspects are suggested. Second, experimental environments and measures, allowing a set of experiments, carried out for different negotiation deadlines, are detailed. Third, experimental results are analyzed with regard to time dependent behaviors. Results demonstrate that more increasing conciliatory aspects lead to increased agreement point (price) and decreased agreement time, and more increasing aggressive aspects lead to decreased agreement point and increased agreement time.
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References
Jennings, N.R., et al.: Automated Negotiation: Prospects, Methods, and Challenges. Int. J. of Group Decision and Negotiation 10(2), 199–215 (2001)
Gerding, E.H., van Bragt, D., Poutré, J.L.: Scientific Approaches and Techniques for Negotiation: A Game Theoretic and Artificial Intelligence Perspective. Tech. Report (2000)
Li, C., Giampapa, J., Sycara, K.: Bilateral Negotiation Decisions with Uncertain Dynamic Outside Options. IEEE Trans. on Systems, Man, and Cybernetics, Part C 36(1), 1–13 (2006)
Lomuscio, A.R., Wooldridge, M., Jennings, N.R.: A classification Scheme for Negotiation in Electronic Commerce. Int. J. of Gro. and Neg. 12, 31–56 (2003)
Faratin, P., Sierra, C., Jennings, N.R.: Negotiation Decision Functions for Autonomous Agents. Int. J. of Robotics and Autonomous Systems 24(3-4), 159–182 (1998)
Bales, R.F.: Interaction Process Analysis: A Method for the Study of Small Groups. Addisson-Wesley, Cambridge (1950)
Rubin, J.Z., Brown, B.R.: The Social Psychology of Bargaining and Negotiation. Academic Press, New York (1975)
Rosenschein, J., Zlotkin, G.: Rules of Encounter. MIT Press, Cambridge (1994)
Wooldridge, M.: An Introduction to MultiAgent Systems. John Wiley & Sons, Chichester (2002)
Pruitt, D.: Negotiation Behavior. Academic Press, London (1981)
Raiffa, H.: The Art and Science of Negotiation. Harvard University Press, Cambridge (1982)
Wang, K.-J., Chou, C.-H.: Evaluating NDF-Based Negotiation Mechanism Within an Agent-Based Environment. Robotics and Aut. Systems 43, 01–27 (2003)
Lee, C.-F., Chang, P.-L.: Evaluations of Tactics for Automated Negotiations. Group Decision and Negotiation 17(6), 515–539 (2008)
Richter, J., Kowalczyk, R., Klusch, M.: Multistage Fuzzy Decision Making in Bilateral Negotiation with Finite Termination Times. In: Nicholson, A., Li, X. (eds.) AI 2009. LNCS (LNAI), vol. 5866, pp. 21–30. Springer, Heidelberg (2009)
Pfeifer, R., Scheier, C.: Understanding Intelligence. MIT Press, Cambridge (1999)
Chohra, A.: Embodied Cognitive Science, Intelligent Behavior Control, Machine Learning, Soft Computing, and FPGA Integration: Towards Fast, Cooperative and Adversarial Robot Team (RoboCup). Technical GMD Report (136), Germany (June 2001) ISSN 1435-2702
Zeng, D., Sycara, K.: Benefits of Learning in Negotiation. In: Proc. of the 14th National Conference on Artificial Intelligence (AAAI 1997), Providence, RI, pp. 36–41 (1997)
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Chohra, A., Bahrammirzaee, A., Madani, K. (2011). Time and Personality Dependent Behaviors for Agent Negotiation with Incomplete Information. In: Jędrzejowicz, P., Nguyen, N.T., Hoang, K. (eds) Computational Collective Intelligence. Technologies and Applications. ICCCI 2011. Lecture Notes in Computer Science(), vol 6923. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23938-0_36
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DOI: https://doi.org/10.1007/978-3-642-23938-0_36
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