Social conceptions of knowledge and action: DAI foundations and open systems semantics
Artificial Intelligence
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
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 1
Computers and Industrial Engineering
Reaching agreements through fuzzy counter-offers
ICWE'03 Proceedings of the 2003 international conference on Web engineering
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Negotiation plays a fundamental role in systems composed of multiple autonomous agents. Some negotiations may require a more elaborated dialogue where agents would explain offer rejections in a general and vague way. We propose that agents would represent their disappointment about an offer through a fuzzy set applied to each attribute of the offer. Fuzziness can also be very useful in order to make user profiles more difficult to acquire. The satisfaction of this intention is evaluated using classification techniques to compare the accuracy of the models that were obtained from the observation of the behaviour of the agents. In order to test how much information may be extracted about the internal preferences of agents, the task of modeling is translated into a classification task solved by a technique that would generate symbolic representations, such as m5.