Towards a Fuzzy-Based Model for Human-like Multi-Agent Negotiation

Intelligent agents are applied to automate the process of negotiation. Typical multi-agent negotiation strategies only allow the exchange of precise quantitative values as attributes. In the real-world applications, many of the negotiation issues such as qualitative concepts, cannot be expressed by exact numeric values. In this paper, we propose a new fuzzy-based model for negotiation. Our model leads to a human-like negotiation, and enables negotiation parties to act flexibly.