Rules of encounter: designing conventions for automated negotiation among computers
Rules of encounter: designing conventions for automated negotiation among computers
Inferring from Inconsistency in Preference-Based Argumentation Frameworks
Journal of Automated Reasoning
Artificial Intelligence - Special issue on nonmonotonic reasoning
Social contraction and belief negotiation
Information Fusion
Towards argumentation-based contract negotiation
Proceedings of the 2008 conference on Computational Models of Argument: Proceedings of COMMA 2008
Logical foundations of negotiation: outcome, concession and adaptation
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
An ordinal bargaining solution with fixed-point property
Journal of Artificial Intelligence Research
Mechanisms for automated negotiation in state oriented domains
Journal of Artificial Intelligence Research
A logic-based axiomatic model of bargaining
Artificial Intelligence
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In this paper, we introduce axiomatic and strategic models for bargaining and investigate the link between the two. Bargaining situations are described in propositional logic while the agents' preferences over the outcomes are expressed as ordinal preferences. Our main contribution is an axiomatic theory of bargaining. We propose a bargaining solution based on the well-known egalitarian social welfare for bargaining problems in which the agents' logical beliefs specify their bottom lines. We prove that the proposed solution is uniquely identified by a set of axioms. We further present a model of bargaining based on argumentation frameworks with the view to develop a strategic model of bargaining using the concept of minimal concession strategy in argument-based negotiation frameworks.