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

Instructor's Manual and Test Bank to Accompany Schneider and Gersting's An Invitation to Computer Science (1999)
 

Contributions to Books

Link

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