Semantics of Agent Communication Languages for Group Interaction
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
ATAL '01 Revised Papers from the 8th International Workshop on Intelligent Agents VIII
Performatives in a rationally based speech act theory
ACL '90 Proceedings of the 28th annual meeting on Association for Computational Linguistics
Towards a Formal Approach to Overhearing: Algorithms for Conversation Identification
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 1
Formalizing and achieving multiparty agreements via commitments
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
A theoretical framework on proactive information exchange in agent teamwork
Artificial Intelligence
Monitoring teams by overhearing: a multi-agent plan-recognition approach
Journal of Artificial Intelligence Research
CAST: collaborative agents for simulating teamwork
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
AAAI'93 Proceedings of the eleventh national conference on Artificial intelligence
First steps towards multi-party communication
AC'04 Proceedings of the 2004 international conference on Agent Communication
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Helping behavior in effective teams is enabled by some overlapping "shared mental models" that are developed and maintained by members of the team. In this paper, we take the perspective that multiparty "proactive" communication is critical for establishing and maintaining such a shared mental model among teammates, which is, the basis for agents to offer proactive help and to achieve coherent teamwork. We first provide formal semantics for multiparty proactive performatives within a team setting. We then examine how such performatives result in updates to mental model of teammates, and how such updates can trigger helpful behaviors from other teammates.