Attention, intentions, and the structure of discourse
Computational Linguistics
Generating descriptions that exploit a user's domain knowledge
Current research in natural language generation
A model of plan inference that distinguishes between the beliefs of actors and observers
ACL '86 Proceedings of the 24th annual meeting on Association for Computational Linguistics
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
A logic-based model of intention formation and action for multi-agent subcontracting
Artificial Intelligence
The automated mapping of plans for plan recognition
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
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Agents collaborating to achieve a goal bring to their joint activity different beliefs about ways in which to achieve the goal and the actions necessary for doing so. Thus, a model of collaboration must provide a way of representing and distinguishing among agents' beliefs and of stating the ways in which the intentions of different agents contribute to achieving their goal. Furthermore, in collaborative activity, collaboration occurs in the planning process itself. Thus, rather than modelling plan recognition, per se, what must be modelled is the augmentation of beliefs about the actions of multiple agents and their intentions. In this paper, we modify and expand the SharedPlan model of collaborative behavior (Grosz & Sidner 1990). We present an algorithm for updating an agent's beliefs about a partial SharedPlan and describe an initial implementation of this algorithm in the domain of network management.