Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Artificial Intelligence - Special volume on natural language processing
A Bayesian model of plan recognition
Artificial Intelligence
The Architecture of Cognition
A Model for Adapting Explanations to the User‘s Likely Inferences
User Modeling and User-Adapted Interaction
Response generation in collaborative negotiation
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
Proof verbalization as an application of NLG
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Content ordering in the generation of persuasive discourse
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
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
A review of explanation methods for Bayesian networks
The Knowledge Engineering Review
Natural language generation in dialog systems
HLT '01 Proceedings of the first international conference on Human language technology research
Journal of Biomedical Informatics
Towards the generation of rebuttals in a Bayesian Argumentation System
INLG '00 Proceedings of the first international conference on Natural language generation - Volume 14
Using argumentation strategies in automated argument generation
INLG '00 Proceedings of the first international conference on Natural language generation - Volume 14
Generating and evaluating evaluative arguments
Artificial Intelligence
Exploratory interaction with a Bayesian argumentation system
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
Generating and evaluating evaluative arguments
Artificial Intelligence
Recognizing intentions from rejoinders in a Bayesian interactive argumentation system
PRICAI'00 Proceedings of the 6th Pacific Rim international conference on Artificial intelligence
Probabilistic Semantics for the Carneades Argument Model Using Bayesian Networks
Proceedings of the 2010 conference on Computational Models of Argument: Proceedings of COMMA 2010
Causal argumentation schemes to support sense-making in clinical genetics and law
Proceedings of the 13th International Conference on Artificial Intelligence and Law
A bayes net approach to argumentation based negotiation
ArgMAS'04 Proceedings of the First international conference on Argumentation in Multi-Agent Systems
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Our argumentation system, NAG, uses Bayesian networks in a user model and in a normative model to assemble and assess arguments which balance persuasiveness with normative correctness. Attentional focus is simulated in both models to select relevant subnetworks for Bayesian propagation. The subnetworks are expanded in an iterative abductive process until argumentative goals are achieved in both models, when the argument is presented to the user.