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职业迁徙
个人简介
My research is in the area of knowledge representation and reasoning which is a branch of artificial intelligence. More specifically, I am currently interested in the following inter-related topics.
- Computational models of argument: Formalization of monological and dialogical argumentation using logic and probability theory; Handling enthymemes through the use of common/commonsense knowledge; And applications in decision making and sense making.
- Computational persuasion: Automated systems for engaging in a dialogue with a user (the persuadee) in order to persuade them through the use of convincing arguments and counterarguments.
Previously, I have worked on topics including non-monotonic reasoning, commonsense reasoning, paraconsistent reasoning, methods for aggregating knowledge, and measures of inconsistency.
- Computational models of argument: Formalization of monological and dialogical argumentation using logic and probability theory; Handling enthymemes through the use of common/commonsense knowledge; And applications in decision making and sense making.
- Computational persuasion: Automated systems for engaging in a dialogue with a user (the persuadee) in order to persuade them through the use of convincing arguments and counterarguments.
Previously, I have worked on topics including non-monotonic reasoning, commonsense reasoning, paraconsistent reasoning, methods for aggregating knowledge, and measures of inconsistency.
研究兴趣
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Int. J. Approx. Reason. (2023): 38-60
Artificial Intelligence (2023): 103934-103934
CoRR (2023)
CoRR (2023)
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