Masters Theses
Date of Award
12-1991
Degree Type
Thesis
Degree Name
Master of Science
Major
Computer Science
Major Professor
David Mutchler
Committee Members
David Straight, Jean Blair
Abstract
The Min Max Approximation (MMA) algorithm [Riv88] is a method of exploring a game tree unevenly. Rivest's implementation of the algorithm is reviewed and variations on his technique are discussed. Results are given of additional experiments with the game of Connect-Four which demonstrate weaknesses of MMA. Further experiments with the game of Checkers are described. These experiments reaffirm MMA's promise. The strength and weaknesses of MMA borne out in these experiments are summarized.
Recommended Citation
Richardson, Jon T., "Searching game trees with Min Max Approximation : experiments and analysis. " Master's Thesis, University of Tennessee, 1991.
https://trace.tennessee.edu/utk_gradthes/12514