Reasoning about knowledge
Controlling cooperative problem solving in industrial multi-agent systems using joint intentions
Artificial Intelligence
Collaborative plans for complex group action
Artificial Intelligence
COLLAGEN: when agents collaborate with people
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Artificial Intelligence - Special issue on Robocop: the first step
Protocols and intentional specifications of multi-party agent conversions for brokerage and auctions
AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
Embodied agents for multi-party dialogue in immersive virtual worlds
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
Channeled multicast for group communications
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3
Introduction to Algorithms
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
A Formal Semantics for ProxyCommunicative Acts
ATAL '01 Revised Papers from the 8th International Workshop on Intelligent Agents VIII
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
Context-Centric Proactive Information Delivery
IAT '04 Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology
A layered approach to complex negotiations
Web Intelligence and Agent Systems
Extending the recognition-primed decision model to support human-agent collaboration
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Conversation Pattern-based Anticipation of Teammates' Information Needs via Overhearing
IAT '05 Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology
Context-Centric Needs Anticipation Using Information Needs Graphs
Applied Intelligence
A theoretical framework on proactive information exchange in agent teamwork
Artificial Intelligence
Web Intelligence and Agent Systems
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
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Collaborative computing relies on the modeling and exploiting of team intelligence. While the notion of shared mental models has been widely adopted to explain coordination behaviors in human teams, it becomes increasingly important to investigate the computerization of shared mental models and their application in multi-agent systems. A key element of research along this line is to explore effective ways to developing shared mental models. In this paper, we give a representation model for conversation patterns involving multiple conversation roles. Then, within the R-CAST agent architecture, we detail an approach where agents in a group, via multi-party communication, can anticipate others' information needs using experience-based conversation pattern recognition. The approach can be employed to develop shared mental models among a group for supporting unplanned collaborations.