Natural language generation from plans
Computational Linguistics
Expressing rhetorical relations in instructional text: a case study of the purpose relation
Computational Linguistics
Artificial Intelligence - Special volume on planning and scheduling
Generating descriptions of complex activities
Generating descriptions of complex activities
Empirical studies in discourse
Computational Linguistics
IJCAI'77 Proceedings of the 5th international joint conference on Artificial intelligence - Volume 2
Using plan reasoning in the generation of plan descriptions
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Émile: Marshalling passions in training and education
AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
Extending models of conflict and intent dynamics in narrative-based virtual worlds
MMSys '10 Proceedings of the first annual ACM SIGMM conference on Multimedia systems
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Intelligent agents are often called upon to form plans that direct their own or other agents' activities. For these systems, the ability to describe plans to people in natural ways is an essential aspect of their interface. In this paper, we present the Cooperative Plan Identification (CPI) architecture, a computational model that generates concise, effective textual descriptions of plan data structures. The model incorporates previous theoretical work on the comprehension of plan descriptions, using a generate-and-test approach to perform efficient search through the space of candidate descriptions.We describe an empirical evaluation of the CPI architecture in which subjects following instructions produced by the CPI architecture performed their tasks with fewer execution errors and achieved a higher percentage of their tasks' goals than did subjects following instructions produced by alternative methods.