Resolving adversarial conflicts: an approach integration case-based and analytic methods
Resolving adversarial conflicts: an approach integration case-based and analytic methods
Multistage negotiation in distributed planning
Distributed Artificial Intelligence
Constraint-directed negotiation of resource reallocations
Distributed Artificial Intelligence (Vol. 2)
The function of time in cooperative negotiations
The function of time in cooperative negotiations
Negotiation in a non-cooperative environment
Journal of Experimental & Theoretical Artificial Intelligence
Coordination of Distributed Problem Solvers
Coordination of Distributed Problem Solvers
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 1
Negotiations over time in a multi-agent environment preliminary report
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1
Distributed Private Constraint Optimization
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
On stable multi-agent behavior in face of uncertainty
UAI'97 Proceedings of the Thirteenth conference on Uncertainty in artificial intelligence
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Work in distributed artificial intelligence (DAI) has, since its earliest years, been concerned with negotiation strategies. which can be used in building agents that are able to communicate to reach mutually beneficial agreements. In this paper we suggest a strategic model of negotiation that takes the passage of time during the negotiation process itself into consideration. Changes in the agent's preferences over time will change their strategies in the negotiation and, as a resuit the agreements they are willing to reach. We will show that in this model the delay in reaching agreements can be avoided.