A Web-Based Negotiation Agent Using CBR

This paper presents a negotiation agent that applies Case-Based Reasoning (CBR) techniques to capture and re-use previously successful negotiation experiences in the multi-agent negotiation context. This negotiation agent provides adaptive negotiation strategies that can be generated dynamically and are context-sensitive. We demonstrate this negotiation agent in the context of used-car trading and a web-based application of negotiation agent for used car trading is developed. Relevant issues are discussed, including formulation of negotiation episodes, negotiation experience representation, negotiation experience matching/selection and previous negotiation experience adaptation/reuse.