An Introduction to Monte Carlo Techniques in Artificial Intelligence - Part I

Document Type

Conference Proceeding

Publication Date



Computer Science


Monte Carlo (MC) techniques have become important and pervasive in the work of AI practitioners. In general, they use stochastic simulation to provide deep understanding of complex systems as long as important events are not infrequent. Despite the practical importance of the techniques, relatively few relevant assignments have been developed to date.


An abstract of the materials appeared in the Proceedings of EAAI-14: The 5th Symposium on Educational Advances in Artificial Intelligence, Quebec City, Quebec, Canada, July 28-29, 2014.

Teaching materials are available from the author at: http://modelai.gettysburg.edu/2014/mc1/index.html