MCMAI 2013 - Monte-Carlo Methods for Artificial Intelligence: A Short Course

Monte-Carlo Methods for Artificial Intelligence: A Short Course
March 18-22, 2013, Corvallis, Oregon
http://www.eecs.orst.edu/mcai
Ever wondered about how smart computers can be?
If you are curious about how to make computers smarter and want
to stimulate your brain during spring break, we have an
exciting opportunity for you: An all-expenses paid short course.
Funding is provided by the National Science Foundation.
Monte Carlo algorithms are randomized search algorithms that are
creating big advances in Artificial Intelligence. They have produced
the first master-level play in Go, and they also give excellent
performance in Solitaire and other games. Monte Carlo methods are
also being applied to many more practical problems such as robot
planning and scheduling and also to environmental problems such
as species conservation and natural resource management.
Monte Carlo methods are naturally parallel, simple to implement, and
often match or exceed the performance of other more complex
approaches. There are many open research problems including some
fundamental ones such as understanding why and when they work well.
Applicants should be US citizens or permanent residents with a preference
to historically under-represented groups in computer science (women,
minorities, first generation to attend college). They should be in the second
or third year of their undergraduate degree and should have prior experience
in programming. Background in Artificial Intelligence is not required.
The course runs from March 18-22 in the beautiful town of Corvallis.
We will provide accommodation, airfare, computer access, high quality
interactions, and technical presentations.
If you are interested or have questions, please visit
http://www.eecs.orst.edu/mcai. Applications are due December 20, 2012.
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Thomas G. Dietterich, Professor Voice: 541-737-5559
School of Electrical Engineering FAX: 541-737-1300
and Computer Science URL: http://eecs.oregonstate.edu/~tgd
US Mail: 1148 Kelley Engineering Center
Office: 2067 Kelley Engineering Center
Oregon State Univ., Corvallis, OR 97331-5501