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My main research interests remain interdisciplinary to this day. The key questions that motivate my primary research program concern the extent to which information about cause and effect can be reliably inferred from passive observations (as opposed to active experiments), and the extent to which such inferred causal information can effectively guide predictions and decision-making. The attempts to address these questions are usually logical, epistemological, or even algorithmic in nature, but they are also related to important issues in the metaphysics of causation. I am grateful to the Research Grants Council of Hong Kong for having funded several of my projects in this research program, ranging from epistemological examinations of causal inference to the bearings of causal reasoning on decision theory. The research findings from these projects were published both in premier journals of philosophy and in leading venues of artificial intelligence and machine learning.
Research Interests
Papers共 68 篇Author StatisticsCo-AuthorSimilar Experts
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CoRR (2024)
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CoRRno. 13S (2023): 299:1-299:37
IEEE transactions on knowledge and data engineeringno. 9 (2023): 8823-8837
Jingzhi Fang,Jiji Zhang
Logic, Rationality, and Interaction: 9th International Workshop, LORI 2023, Jinan, China, October 26–29, 2023, Proceedingspp.94-108, (2023)
CoRR (2022)
NeurIPS 2022pp.6181-6185, (2022)
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