Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
A Bayesian model of plan recognition
Artificial Intelligence
Bayesian reasoning in an abductive mechanism for argument generation and analysis
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
ARGUER: using argument schemas for argument detection and rebuttal in dialogs
UM '99 Proceedings of the seventh international conference on User modeling
The Architecture of Cognition
A process model for recognizing communicative acts and modeling negotiation subdialogues
Computational Linguistics
Arguing about planning alternatives
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 3
Towards the generation of rebuttals in a Bayesian Argumentation System
INLG '00 Proceedings of the first international conference on Natural language generation - Volume 14
Exploratory interaction with a Bayesian argumentation system
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
Inferring informational goals from free-text queries: a Bayesian approach
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Natural Language Processing and User Modeling: Synergies and Limitations
User Modeling and User-Adapted Interaction
An Integrated Approach for Generating Arguments and Rebuttals and Understanding Rejoinders
UM '01 Proceedings of the 8th International Conference on User Modeling 2001
Ascribing and Weighting Beliefs in Deceptive Information Exchanges
UM '01 Proceedings of the 8th International Conference on User Modeling 2001
An Interactive System for Generating Arguments in Deceptive Communication
AI*IA 01 Proceedings of the 7th Congress of the Italian Association for Artificial Intelligence on Advances in Artificial Intelligence
Towards the generation of rebuttals in a Bayesian Argumentation System
INLG '00 Proceedings of the first international conference on Natural language generation - Volume 14
Portia: A User-Adapted Persuasion System in the Healthy-Eating Domain
IEEE Intelligent Systems
Persuasion artifices to promote wellbeing
PERSUASIVE'06 Proceedings of the First international conference on Persuasive technology for human well-being
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We describe a mechanism which recognizes a user's intentions from short-form rejoinders to arguments generated from Bayesian networks. The mechanism builds candidate reasoning paths that link the user's rejoinder with a previously presented argument, and considers the following factors to select a path: linguistic clues, the impact of the user's rejoinder on the system's argument along the different paths, the user's attentional focus, and the system's confidence in its representation of the user's beliefs. The results of our preliminary evaluation indicate that the interpretations produced by our mechanism are generally appropriate.