A Novel Strategy for Efficient Negotiation in Complex Environments
- Cite this paper as:
- Chen S., Weiss G. (2012) A Novel Strategy for Efficient Negotiation in Complex Environments. In: Timm I.J., Guttmann C. (eds) Multiagent System Technologies. MATES 2012. Lecture Notes in Computer Science, vol 7598. Springer, Berlin, Heidelberg
A complex and challenging bilateral negotiation environment for rational autonomous agents is where agents negotiate multi-issue contracts in unknown application domains against unknown opponents under real-time constraints. In this paper we present a novel negotiation strategy called EMAR for this kind of environment which is based on a combination of Empirical Mode Decomposition (EMD) and Autoregressive Moving Average (ARMA). EMAR enables a negotiating agent to adjust its target utility and concession rate adaptively in real-time according to the behavior of its opponent. The experimental results show that this new strategy outperforms the best agents from the latest Automated Negotiation Agents (ANAC) Competition in a wide range of application domains.
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