A Bayesian model of plan recognition
Artificial Intelligence
Acquisition of abstract plan descriptions for plan recognition
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Bayesian Models for Keyhole Plan Recognition in an Adventure Game
User Modeling and User-Adapted Interaction
Scalable and adaptive goal recognition
Scalable and adaptive goal recognition
Using GPS to learn significant locations and predict movement across multiple users
Personal and Ubiquitous Computing
Journal of Artificial Intelligence Research
Policy recognition in the abstract hidden Markov model
Journal of Artificial Intelligence Research
Corpus-based, statistical goal recognition
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Cultural support for improvisation
AAAI'92 Proceedings of the tenth national conference on Artificial intelligence
Accounting for context in plan recognition, with application to traffic monitoring
UAI'95 Proceedings of the Eleventh conference on Uncertainty in artificial intelligence
The automated mapping of plans for plan recognition
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Fast hierarchical goal schema recognition
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Assessing the Impact of Measurement Uncertainty on User Models in Spatial Domains
UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
The automated understanding of simple bar charts
Artificial Intelligence
Abductive plan recognition by extending Bayesian logic programs
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part II
Discrete sequences analysis for detecting software design patterns
ADNTIIC'11 Proceedings of the Second international conference on Advances in New Technologies, Interactive Interfaces and Communicability
Generating corpora of activities of daily living and towards measuring the corpora's complexity
CAVE'12 Proceedings of the First international conference on Cognitive Agents for Virtual Environments
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Corpora for training plan recognizers are scarce and difficult to gather from humans. However, corpora could be a boon to plan recognition research, providing a platform to train and test individual recognizers, as well as allow different recognizers to be compared. We present a novel method for generating artificial corpora for plan recognition. The method uses a modified AI planner and Monte-Carlo sampling to generate action sequences labeled with their goal and plan. This general method can be ported to allow the automatic generation of corpora for different domains.