Multi-Issue Agent Automatic Negotiation Based on Fuzzy Evaluation

Automatic negotiation is a key problem in the autonomous multi-agent systems (MAS). How to carry out automatic multi-issue negotiation quickly and effectively has become an important problem that we must deal with in MAS. In this paper, the well-known Bazaar negotiation model is analyzed, a new idea is proposed for solving the problem of unknown or incomplete negotiation constraint information and the fuzzy evaluation is utilized to simplify the complexity of multi-issue negotiation. The new method of multi-issue automatic negotiation is established based on fuzzy evaluation and quick evolution. The experiment indicates that this method is quick and effective.