Rules of encounter: designing conventions for automated negotiation among computers
Rules of encounter: designing conventions for automated negotiation among computers
Collaborative plans for complex group action
Artificial Intelligence
Satisfying user preferences while negotiating meetings
International Journal of Human-Computer Studies - Special issue: group support systems
Evaluating options in a context
TARK '98 Proceedings of the 7th conference on Theoretical aspects of rationality and knowledge
MAAMAW '92 Selected papers from the 4th European Workshop on on Modelling Autonomous Agents in a Multi-Agent World, Artificial Social Systems
Coordinated Hospital Patient Scheduling
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
Journal of Artificial Intelligence Research
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With growing opportunities for individually motivated agents to work collaboratively to satisfy shared goals, it becomes increasingly important to design agents that can make intelligent decisions in the context of commitments to group activities. In particular, agents need to be able to reconcile their intentions to do team-related actions with other, conflicting intentions. We present the SPIRE experimental system that allows the process of intention reconciliation in team contexts to be simulated and studied. SPIRE enables us to examine the influence of team norms and environmental factors on team members faced with conflicting intentions, as well as the effectiveness of different intention-reconciliation strategies. We discuss results from pilot experiments that confirm the reasonableness of our model of the problem and illustrate some of the issues involved, and we lay the groundwork for future experiments that will allow us to derive principles for designers of collaboration-capable agents.