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.
Introductory AI for both Computer Science and Neuroscience Students, Proceedings of the 20th International FLAIRS Conference (Florida Artificial Intelligence Research Society (2007)
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)
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)
Behavior Retrieval for Robot Control in a Unified CBR Hybrid Planner, Proceedings of the 14th International FLAIRS Conference (Florida Artificial Intelligence Research Society) (2001)
Instrospective reasoning for index refinement in case-based reasoning (with D. B. Leake), Journal of Experimental and Theoretical Artificial Intelligence (2001)