Experimental Evaluation of a Model for Multilateral Negotiation with Fuzzy Preferences on an Agent-based Marketplace

This paper presents a multilateral negotiation model on an agent-based job-marketplace developed at Europe-University Viadrina Frankfurt (Oder), Germany. The negotiation model is based on many negotiation issues, a fuzzy utility scoring method and simultaneous negotiation with many negotiation partners in an environment of limited negotiation time. Although the proposed negotiation model deals with agent-based negotiation in the specific context of personnel acquisition, it can be applied with some modifications to other agent-based e-marketplaces. The negotiation model presented is evaluated with the help of some simulation experiments. The observed results provide an insight into the interrelation between negotiation tactics and time constraints on the one side and achieved utility degrees and the number of closed contracts on the other side.