Abstract
Negotiating agents play a key role in e-markets and become more popular. However, in much existing work, the e-markets are assumed to be closed and static, which is unrealistic. To address the issue, this paper developed negotiating agents that can adapt their negotiation strategies, outcome expectations, offer evaluations, and counter-offers generations in dynamic, open e-markets. Also, the proposed agents can generate multiple counter-offers according to different preferences so as to further improve their negotiation outcomes. Finally, the experimental results show the improvements on agents’ profits by employing our negotiation model.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Barbuceanu, M., Lo, W.: Multi-attribute Utility Theoretic Negotiation for Electronic Commerce. Agent-Mediated Electronic Commerce III, 15–30 (2001)
Dasgupta, P., Hashimoto, Y.: Multi-Attribute Dynamic Pricing for Online Markets Using Intelligent Agents. In: Proc. of 3rd Int. Conf. on Autonomous Agents and Multiagent Systems, pp. 277–284 (2004)
Fatima, S., Wooldridge, M., Jennings, N.: Multi-Issue Negotiation Under Time Constraints. In: Proc. of 1st Int. Conf. on Autonomous Agents and Multi-Agent Systems, pp. 143–150 (2002)
Fatima, S., Wooldridge, M., Jennings, N.: An Agenda-Based Framework for Multi-Issue Negotiation. Artificial Intelligence 152(1), 1–45 (2004)
Fatima, S., Wooldridge, M., Jennings, N.: Approximate and Online Multi-Issue Negotiation. In: Proc. of 6th Int. Conf. on Autonomous Agents and Multi-Agent Systems, pp. 947–954 (2007)
Fatima, S., Wooldridge, M., Jennings, N.: An Analysis of Feasible Solutions for Multi-Issue Negotiation Involving Nonlinear Utility Functions. In: Proc. of 8th Int. Conf. on Autonomous Agents and Multiagent Systems, pp. 1041–1048 (2009)
Hemaissia, M., Seghrouchni, A., Labreuche, C., Mattioli, J.: A Multilateral Multi-Issue Negotiation Protocol. In: Proc. of 6th Int. Conf. on Autonomous Agents and Multiagent Systems, pp. 939–946 (2007)
Lai, G., Sycara, K., Li, C.: A Pareto Optimal Model for Automated Multi-attribute Negotiations. In: Proc. of 6th Int. Conf. on Autonomous Agents and Multi-Agent Systems, pp. 1040–1042 (2007)
Luo, X., Zhang, C., Jennings, N.: A Hybrid Model for Sharing Information between Fuzzy, Uncertain and Default Reasoning Models in Multi-Agent Systems. Int.l J. of Uncertainty, Fuzziness and Knowledge-Based Systems 10(4), 421–450 (2007)
Nguyen, T., Jennings, N.: Coordinating Multiple Concurrent Negotiations. In: 3rd Int. Joint Conf. on Autonomous Agents and Multiagent Systems, pp. 1064–1071 (2004)
Ren, F., Zhang, M., Sim, K.: Adaptive Conceding Strategies for Automated Trading Agents in Dynamic, Open Markets. Decision Support Systems 46(3), 704–716 (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Ren, F., Zhang, M., Luo, X., Soetanto, D. (2011). A Parallel, Multi-issue Negotiation Model in Dynamic E-Markets. In: Wang, D., Reynolds, M. (eds) AI 2011: Advances in Artificial Intelligence. AI 2011. Lecture Notes in Computer Science(), vol 7106. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25832-9_45
Download citation
DOI: https://doi.org/10.1007/978-3-642-25832-9_45
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25831-2
Online ISBN: 978-3-642-25832-9
eBook Packages: Computer ScienceComputer Science (R0)