Generating causal explanations: from qualitative models to natural language texts
ECAI '92 Proceedings of the 10th European conference on 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
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference
Exploratory Interaction with a Bayesian Argumentation System
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Content ordering in the generation of persuasive discourse
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Computational Models of Natural Language Argument
ICCS '01 Proceedings of the International Conference on Computational Sciences-Part I
A review of explanation methods for heuristic expert systems
The Knowledge Engineering Review
A TAXONOMY OF STRATEGIES FOR MULTIMODAL PERSUASIVE MESSAGE GENERATION
Applied Artificial Intelligence
Generation of biomedical arguments for lay readers
INLG '06 Proceedings of the Fourth International Natural Language Generation Conference
Adaptive content presentation for the web
The adaptive web
Trusting politicians' words (for persuasive NLP)
CICLing'08 Proceedings of the 9th international conference on Computational linguistics and intelligent text processing
System Personality and Persuasion in Human-Computer Dialogue
ACM Transactions on Interactive Intelligent Systems (TiiS)
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During argumentation, people persuade their audience using a variety of strategies, e.g., hypothetical reasoning, reasoning by cases and ordinary premise-to-goal arguments. In this paper, we offer an operational definition of the conditions for pursuing these strategies, and incorporate into a Bayesian argument-generation system a mechanism for proposing applicable argumentation strategies, generating specific arguments based on these strategies, and selecting a final argument.