Biographical Information for Dana Nau

Last updated October 18, 2017


A Very Brief Bio

Dana Nau is an Artificial Intelligence researcher with more than 300 refereed publications, primarily in the areas of automated planning and game theory. Some of his best-known work includes the discovery of game trees that are "pathological" in the sense that 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 is an AAAI Fellow and an ACM Fellow.

A Slightly Longer One

Dana Nau is a Professor at the University of Maryland, in the Department of Computer Science and the Institute for Systems Research. He received a B.S. in Applied Mathematics from Missouri S&T (then University of Missouri-Rolla) in 1974, and a Ph.D. in Computer Science from Duke University in 1979.

Dr. Nau does research in artificial intelligence, especially in the areas of automated planning and game theory. He has more than 300 refereed technical publications, has chaired ICAPS and several other major conferences, and has been on the editorial boards of JAIR, ACM TIST, and several other major journals. Some of his best-known accomplishments include—

Dr. Nau is an AAAI Fellow and an ACM Fellow.