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Dr. Kisynski developed new techniques for probabilistic reasoning in large domains that involve multiple objects and probabilistic relations between objects. For example, in reasoning about the probability that a suspect committed a crime, we need to reason about all of the other people who could have committed the crime, even if we don't have specific information about them. Dr. Kisynski demonstrated how to improve the efficiency of reasoning in such domains.

A randomly-selected Doctoral citation each day: today from the Doctor of Philosophy in Computer Science (PhD) - graduated in 2010

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