Rules of encounter: designing conventions for automated negotiation among computers
Rules of encounter: designing conventions for automated negotiation among computers
A Framework for Argumentation-Based Negotiation
ATAL '97 Proceedings of the 4th International Workshop on Intelligent Agents IV, Agent Theories, Architectures, and Languages
A machine learning based evaluation of a negotiation between agents involving fuzzy counter-offers
AWIC'03 Proceedings of the 1st international Atlantic web intelligence conference on Advances in web intelligence
A Fuzzy Logic System for Bargaining in Information Markets
ACM Transactions on Intelligent Systems and Technology (TIST)
Buyer behavior adaptation based on a fuzzy logic controller and prediction techniques
Fuzzy Sets and Systems
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Automated negotiations require a more elaborated dialogue where agents would explain offer rejections in a general and vague way. We propose to represent the disappointment about an offer through fuzzy logic. Specifically we study two alternatives: a piece-wise fuzzy set or a linguistic label applied to each attribute of the offer. These alternatives are evaluated comparing the performance of both types of counter-offers with a classical approach based on linear programming. Therefore, the media of negotiation length, benefits and percentage of agreements allow us to conclude the accuracy of the alternatives proposed.