Belief, awareness, and limited reasoning
Artificial Intelligence
Reaching agreements through argumentation: a logical model and implementation
Artificial Intelligence
Toward an ethics of persuasive technology
Communications of the ACM
International Journal of Human-Computer Studies - Special issue on collaboration, cooperation and conflict in dialogue systems
Explanation and Argumentation Capabilities: Towards the Creation of More Persuasive Agents
Artificial Intelligence Review
Towards requirements-driven information systems engineering: the Tropos project
Information Systems - The 13th international conference on advanced information systems engineering (CAiSE*01)
Persuasive Technology: Using Computers to Change What We Think and Do
Persuasive Technology: Using Computers to Change What We Think and Do
The kinedit system: affective messages using dynamic texts
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Lessons from a failure: generating tailored smoking cessation letters
Artificial Intelligence
The rhetorical parsing, summarization, and generation of natural language texts
The rhetorical parsing, summarization, and generation of natural language texts
The rhetorical parsing, summarization, and generation of natural language texts
The rhetorical parsing, summarization, and generation of natural language texts
Generating the structure of argument
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Using argumentation strategies in automated argument generation
INLG '00 Proceedings of the first international conference on Natural language generation - Volume 14
PEACH - Intelligent Interfaces for Museum Visits (Cognitive Technologies)
PEACH - Intelligent Interfaces for Museum Visits (Cognitive Technologies)
Acquiring correct knowledge for natural language generation
Journal of Artificial Intelligence Research
Trusting politicians' words (for persuasive NLP)
CICLing'08 Proceedings of the 9th international conference on Computational linguistics and intelligent text processing
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Future intelligent systems will have contextual goals to pursue. As opposed to more traditional scenarios of human computer interaction, intelligent persuasive systems may also aim to induce the user or, in general, the audience, to perform some actions in the real world. Some scenarios of application are dynamic advertisement, preventive medicine, social action, and edutainment. As a step in this direction, a prototype called Promoter was developed for the production of persuasive messages. In modeling persuasion, the cognitive state of the participants (beliefs, desires, and intentions) is taken into account, as well as their social relations, their emotions, and the context of interaction. In this article, a taxonomy of persuasive strategies and the meta-reasoning model that works on this taxonomy is described. The taxonomy is built by taking into consideration studies coming both from social psychology and philosophy, and from the area of natural argumentation. The taxonomy is not domain specific and it helps to bridge persuasion strategies and rhetorical relations, a fundamental element in text planning. The use of this taxonomy also permits reasoning on the basis of emotion expression in accordance with persuasion strategies for multimodal message generation.