Abstract
Some actual multi-agent automated negotiation systems using auction mechanism in e-commerce are inefficient, as buyer negotiation agents are lack of enough rationality and uneasy to determine appropriate bid price automatically according to different circumstance. In order to improve the auction-based negotiation efficiency of multi-agent system in e-commerce, this paper proposes a model of game agent for auction-based negotiation and a bid negotiation algorithm based on game theory, which provide a new effective way to establish buyer game agent for making buyer agent determine price more accurately and bid more rationally. As buyer agents bid in a more rational way, auction agents and buyer agents can finish negotiation more efficiently.
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© 2005 Springer-Verlag Berlin Heidelberg
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Hu, J., Guan, C. (2005). Model of Game Agent for Auction-Based Negotiation. In: Hao, Y., et al. Computational Intelligence and Security. CIS 2005. Lecture Notes in Computer Science(), vol 3801. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11596448_56
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DOI: https://doi.org/10.1007/11596448_56
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30818-8
Online ISBN: 978-3-540-31599-5
eBook Packages: Computer ScienceComputer Science (R0)Springer Nature Proceedings Computer Science
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