James Gillogly

Performance Analysis of the Technology Chess Program Degree Type: Ph.D. in Computer Science
Advisor(s): Allen Newell
Graduated: May 1978

Abstract:

Many Artificial Intelligence programs exhibit behavior that can be meaningfully compared against the performance of another system, e.g. against a human. A satisfactory understanding of such a program must include an analysis of the behavior of the program and the reasons for that behavior in terms of the programs structure. The primary goal of this thesis is to analyze carefully the performance of the Technology Chess Program as a paradigm for analysis of other complex AI performance programs. The analysis uses empirical, analytical, and statistical methods.

Thesis Committee:
Allen Newell (Chair)

Joseph Traub, Head, Computer Science Department