On Fuzzy e-Negotiation Agents: autonomous negotiation with incomplete and imprecise information

Abstract

The paper presents some aspects of the customable Fuzzy e-Negotiation Agents (FeNAs) system for autonomous multi-issue negotiation in the presence of limited common knowledge and imprecise/soft constraints and preferences. The FeNAs use the principles of utility theory and fuzzy constraint based reasoning in order to find a consensus that maximizes the agent's utility at the highest possible level of fuzzy constraint satisfaction subject to its acceptability by other agents. A scenario for negotiating document translation services is used to illustrate FeNAs' capabilities for multi-issue integrative negotiation.