AgentKF: Automated Negotiating Agent with Strategy Adaptation

Part of the Studies in Computational Intelligence book series (SCI, volume 596)

Abstract

In this chapter, we propose AgentKF which estimates the opponent’s strategies based on the past negotiation sessions. Our agent tries to compromise to the estimated maximum utility of the opponent by the end of the negotiation. In addition, our agent can adjust the speed of compromising and search the pareto frontier using past negotiation sessions. Our agent won the 1st prize in the qualifying round of ANAC-2013.

Keywords

Strategy adaptation Pareto-frontier 

Reference

  1. 1.
    Kawaguchi, S., Fujita, K., Ito, T.: Compromising strategy based on estimated maximum utility for automated negotiation agents competition (ANAC-10). In: 24th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE-2011), pp. 501–510 (2011)Google Scholar

Copyright information

© Springer Japan 2015

Authors and Affiliations

  1. 1.Department of Computer and Information SciencesTokyo University of Agriculture and TechnologyTokyoJapan

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