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.
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
Reference
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)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer Japan
About this chapter
Cite this chapter
Fujita, K. (2015). AgentKF: Automated Negotiating Agent with Strategy Adaptation. In: Fujita, K., Ito, T., Zhang, M., Robu, V. (eds) Next Frontier in Agent-Based Complex Automated Negotiation. Studies in Computational Intelligence, vol 596. Springer, Tokyo. https://doi.org/10.1007/978-4-431-55525-4_9
Download citation
DOI: https://doi.org/10.1007/978-4-431-55525-4_9
Publisher Name: Springer, Tokyo
Print ISBN: 978-4-431-55524-7
Online ISBN: 978-4-431-55525-4
eBook Packages: EngineeringEngineering (R0)