The Design of Meta-Strategy that Can Obtain Higher Negotiating Efficiency

Given the growing interest in automated negotiation, the search for effective strategies has produced a variety of different negotiation agents. In this regard, the Automated Negotiating Agents Competition(ANAC) is being held annually since 2010. The ANAC is an international competition that promotes researchers to design intelligent agents that are able to operate effectively in several kinds of scenarios. In this competition, researchers analyze the negotiating agents from several perspectives including utility, social welfare, distance to Nash solution, distance to Pareto efficiency and so on. Most of these analyses are based on the negotiation results. In fact, the efficiency of the negotiation process greatly affects the negotiation results. In our previous work, we introduced a metric that is able to evaluate the efficiency of the negotiation process. In this paper, we propose a novel meta-strategy that utilizes this metric in order to obtain higher negotiating efficiency.