Paul R. Cohen
Paul Cohen studies AI through empirical methods and work on reasoning, data analysis, and intelligent systems. Cohen published Heuristic Reasoning about Uncertainty: An Artificial Intelligence Approach in 1985. The work forms part of his scholarship on reasoning under uncertainty. Cohen authored Empirical Methods for Artificial Intelligence, published by MIT Press in 1995. The book connects experimental study and evidence with AI research.
- Now at
- University of Pittsburgh
- Works
- 432
- Citations
- 7,851
- h-index
- 40
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
-
1985
Heuristic reasoning about uncertainty
Cohen published Heuristic Reasoning about Uncertainty: An Artificial Intelligence Approach in 1985. The work forms part of his scholarship on reasoning under uncertainty.
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1993
Research recognition
AAAI elected Paul R. Cohen as a Fellow in 1993.
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1995
Empirical Methods for Artificial Intelligence
Cohen authored Empirical Methods for Artificial Intelligence, published by MIT Press in 1995. The book connects experimental study and evidence with AI research.
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2010
Intelligent tutoring evaluation
Cohen, Carole R. Beal, Ivon M. Arroyo, and Beverly P. Woolf co-authored an evaluation of AnimalWatch, an intelligent tutor for arithmetic and fractions, published in 2010.
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2017–2020
Founding dean at Pittsburgh
Cohen served as founding dean of Pittsburgh’s School of Computing and Information from 2017 to 2020. His previous roles included DARPA program management and academic research leadership.
Sources and credits
Photo: www.sci.pitt.edu; Paul R. Cohen profile photograph; creator not stated. License: Not stated by source. Source: sci.pitt.edu. Cropped to a square and resized. Ask us to remove or replace this photo.