Multistage negotiation in distributed planning
Distributed Artificial Intelligence
Coordination of Distributed Problem Solvers
Coordination of Distributed Problem Solvers
A framework for problem-solving in a distributed processing environment.
A framework for problem-solving in a distributed processing environment.
Argumentation: planning other agents' plans
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 1
Negotiation and task sharing among autonomous agents in cooperative domains
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 1
Dialectical theory for multi-agent assumption-based planning
CEEMAS'05 Proceedings of the 4th international Central and Eastern European conference on Multi-Agent Systems and Applications
A trust/honesty model in multiagent semi-competitive environments
PRIMA'04 Proceedings of the 7th Pacific Rim international conference on Intelligent Agents and Multi-Agent Systems
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In previous work [Zlotkin and Rosenschein, 1989a], we have developed a negotiation protocol and offered some negotiation strategies that are in equilibrium. This negotiation process can be used only when the "negotiation set" (NS) is not empty. Domains in which the negotiation sets are never empty are called cooperative domains; in general non-cooperative domains, the negotiation set is sometimes empty. In this paper, we present a theoretical negotiation model for rational agents in general non-cooperative domains. Necessary and sufficient conditions for cooperation are outlined. By redefining the concept of utility, we are able to enlarge the number of situations that have a cooperative solution. An approach is offered for conflict resolution, and it is shown that even in a conflict situation, partial cooperative steps can be taken by interacting agents (that is, agents in fundamental conflict might still agree to cooperate up to a certain point). A Unified Negotiation Protocol is developed that can be used in all cases. It is shown that in certain borderline cooperative situations, a partial cooperative agreement (i.e., one that does not achieve all agents' goals) might be preferred by all agents, even though there exists a rational agreement that would achieve all their goals.