Fox specializes in artificial intelligence, particularly the use of “introspective
reasoning” for self-improving systems. She is creating a system which can reason about
its own reasoning processes and alter them when it detects a flaw or failure in its
reasoning. 

She received a grant from the National Science Foundation to help her develop a robotics
lab to support teaching and learning about artificial intelligence in a real-world
environment. 

EDUCATION: B.A, Oberlin College M.S., Ph.D., Indiana University 

Fox has been teaching at Macalester College since 1995. 

Journal Articles

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Introductory AI for both Computer Science and Neuroscience Students, Proceedings of the 20th International FLAIRS Conference (Florida Artificial Intelligence Research Society (2007)
 

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Finding the “Right” Robot Competition: Targeting Non-Engineering Undergraduates, . Proceedings of the 2007 AAAI Spring Symposium on Robots and Robot Venues: Resources for AI Education (2007)
 

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Robot Navigation: Using Integrated Retrieval of Behaviors and Routes (with P. Anderson-Sprecher), Proceedings of the 19th International FLAIRS Conference (Florida Artificial Intelligence Research Society) (2006)
 

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Behavior Retrieval for Robot Control in a Unified CBR Hybrid Planner, Proceedings of the 14th International FLAIRS Conference (Florida Artificial Intelligence Research Society) (2001)
 

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Instrospective reasoning for index refinement in case-based reasoning (with D. B. Leake), Journal of Experimental and Theoretical Artificial Intelligence (2001)
 

Books

Contributions to Books

Link

Artificial Intelligence: Case-Based Reasoning, Von Nostrand's Scientific Encyclopedia (2002)