Using Similarity Criteria to Make Negotiation Trade-Offs

This paper addresses the issues involved in software agents making trade-offs during automated negotiations in which they have information uncertainty and resource limitations. In particular, the importance of being able to make tradeoffs in real-world applications is highlighted and a novel algorithm for performing trade-offs for multi-dimensional goods is developed. The algorithm uses the notion of fuzzy similarity in order to find negotiation solutions that are beneficial to both parties. Empirical results indicate the benefits and effectiveness of the trade-off algorithm in a range of negotiation situations.

• Type: Conference
• Year: 2000
• Where: ICMAS
• Authors: Peyman Faratin, Carles Sierra, Nicholas R. Jennings
• Keywords: Agents Making Trade-offs, Algorithm, ICMAS 2000, Intelligent Agents, Trade-off Algorithm