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Michael Horsch
Primary area of expertise
Secondary area of expertise
Logic Programming
Other areas of expertise
inference methods for Bayesian networks,constraint satisfaction, path planning, practical applications of AI.
Short biographical note
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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34th Canadian Conference on Artificial Intelligence

25 May to 28 May 2021, Vancouver (online)



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