Problem restructuring in negotiation
Management Science
Rules of encounter: designing conventions for automated negotiation among computers
Rules of encounter: designing conventions for automated negotiation among computers
Controlling cooperative problem solving in industrial multi-agent systems using joint intentions
Artificial Intelligence
Multiagent negotiation under time constraints
Artificial Intelligence
Strategic negotiation in multiagent environments
Strategic negotiation in multiagent environments
The RoboCup Synthetic Agent Challenge 97
RoboCup-97: Robot Soccer World Cup I
Journal of Artificial Intelligence Research
Benefits of learning in negotiation
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
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In multi-agent setting agent teams often encounter conflicts in agents' plans and actions. This paper presents a cooperative negotiation model (ABCON) that allows agents in a team to appropriately negotiate various options in a hostile and dynamic fire world. It shows that negotiations explore the attitudes and behaviors that help agents to manage conflict constructively. It says that cooperative negotiation is guided by the agents' dynamic assessment of alternative actions given the different scenario conditions. The application and implementation of this model to a virtual fire-fighting domain has revealed a promising prospect in negotiating conflicts and solving them.