Education:
Ph.D., Computer Science & Cognitive Science, Indiana University, 1995
M.S., Computer Science, Peking University, Beijing, China, 1986
B.S., Computer Science, Peking University, Beijing, China, 1983
Research Interests :
Artificial Intelligence and Cognitive Science, especially on unified theories of intelligence, formal models of rationality, reasoning under uncertainty, learning and adaptation, knowledge representation, and real-time decision making.
Teaching Topics:
Artificial Intelligence, Algorithm Analysis, Computer Programming, Data Structures, Probability and Statistics
Selected Publications:
- Wang, P., "Formalization of Evidence: A Comparitive Study", Journal of Artificial General Intelligence, Vol. 1, Pages 25-53, 2009
- Wang, P., "Rigid Flexibility: The Logic of Intelligence", Springer, New York, ISBN: 1402050445, 2006
- Wang, P., Hofstadter, D., "A logic of categorization", Journal of Experimental & Theoretical Artificial Intelligence, Vol.18, No.2, Pages 193-213, 2006
- Wang, P., "Experience-grounded semantics: a theory for intelligent systems", Cognitive Systems Research. Vol. 6, No. 4, Pages 282-302, 2005
- Wang, P., "The limitation of Bayesianism", Artificial Intelligence, Vol.158, No.1, Pages 97-106, 2004
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