Date of Award
Master of Science (MS)
Dr. Victor Winter
Dr. William Mahoney
Dr. Hesham Ali
Board games have been challenging intellects and capturing imaginations for more than five thousand years. Researchers have been producing artificially intelligent players for more than fifty. Common artificial intelligence techniques applied to board games use alpha-beta pruning tree search techniques. This paper supplies a frame- work that accommodates many of the diverse aspects of board games, as well as exploring several alternatives for searching out ever better strategies. Techniques examined include optimizing artificial neural networks using genetic algorithms and backpropagation.
Horner, Ben, "WOPR in search of better strategies for board games" (2011). Student Work. 2864.
A Thesis Presented to the Department of Computer Science and the Faculty of the Graduate College University of Nebraska In Partial Fulfillment of the Requirements for the Degree Masters of Science. Copyright 2011 Ben Horner.