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Michael C. Horsch -- at work

I am interested in reasoning under uncertainty and constraint satisfaction. An underlying theme of my current research is meta-reasoning: the formalization of the trade-offs between the cost of computation and the value of result of computation, and the explicit use of computation at the meta-level to decide how to get the most value from computational resources. I am also interested in inference methods for Bayesian networks and constraint satisfaction, path planning, and practical applications of AI.

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Publications:

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© 2000-2004, Michael C. Horsch, horsch@cs.usask.ca
This page last modified Tuesday November 21, 2006