Rules of encounter: designing conventions for automated negotiation among computers
Rules of encounter: designing conventions for automated negotiation among computers
Multiagent negotiation under time constraints
Artificial Intelligence
Multiple-issue bargaining and axiomatic solutions
International Journal of Game Theory
Bargaining theory with applications
Bargaining theory with applications
Autonomous Agents and Multi-Agent Systems
Arbitration (or How to Merge Knowledge Bases)
IEEE Transactions on Knowledge and Data Engineering
An agenda-based framework for multi-issue negotiation
Artificial Intelligence
Social choice theory, belief merging, and strategy-proofness
Information Fusion
Logical foundations of negotiation: outcome, concession and adaptation
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Negotiation as mutual belief revision
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Reasoning about bargaining situations
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
An ordinal bargaining solution with fixed-point property
Journal of Artificial Intelligence Research
A logical model of Nash bargaining solution
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Axiomatic characterization of task oriented negotiation
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Agents contracting tasks in non-collaborative environments
AAAI'93 Proceedings of the eleventh national conference on Artificial intelligence
Merging belief bases by negotiation
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part I
From axiomatic to strategic models of bargaining with logical beliefs and goals
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
An axiomatic model for merging stratified belief bases by negotiation
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part I
Axiomatic characterization of belief merging by negotiation
Multimedia Tools and Applications
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This paper introduces an axiomatic model for bargaining analysis. We describe a bargaining situation in propositional logic and represent bargainers' preferences in total pre-orders. Based on the concept of minimal simultaneous concessions, we propose a solution to n-person bargaining problems and prove that the solution is uniquely characterized by five logical axioms: Consistency, Comprehensiveness, Collective rationality, Disagreement, and Contraction independence. This framework provides a naive solution to multi-person, multi-issue bargaining problems in discrete domains. Although the solution is purely qualitative, it can also be applied to continuous bargaining problems through a procedure of discretization, in which case the solution coincides with the Kalai-Smorodinsky solution.