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个人简介
Dana Nau is an AI researcher who works primarily in the areas of automated planning and game theory. Some of his best-known work includes the discovery of "pathological" game trees in which deeper lookahead produces worse decisions, the strategic planning algorithm used to win the 1997 world championship of computer bridge, the SHOP and SHOP2 planning algorithms, two graduate-level textbooks on automated planning and acting, and evolutionary game-theoretic studies of the evolution of human behavioral norms. Dr. Nau has more than 300 refereed publications. He is an AAAI Fellow and an ACM Fellow.
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arxiv(2024)
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International Florida Artificial Intelligence Research Society Conference (FLAIRS) (2022)
International Florida Artificial Intelligence Research Society Conference (FLAIRS) (2022)
user-618b9223e554220b8f2595ad(2021)
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