Publication Date

1993

Document Type

Dissertation/Thesis

First Advisor

Miller, Gerald D. (Professor of electrical engineering)

Degree Name

M.S. (Master of Science)

Legacy Department

Department of Electrical Engineering

LCSH

Machine learning; Rule-based programming; Artificial intelligence; Genetic algorithms

Abstract

This goal of this thesis is to implement a simple classifier system in-a game environment. The chosen game is tic-tac-toe. Additionally, the classifier will be implemented with both constant and non-constant genetic periods. The performance of the two types of classifier systems will be compared with each other. This will be done using games with various initial conditions and both strategic and random computer opponents.

Comments

Includes bibliographical references (pages [72]-73)

Extent

vii, 204 pages

Language

eng

Publisher

Northern Illinois University

Rights Statement

In Copyright

Rights Statement 2

NIU theses are protected by copyright. They may be viewed from Huskie Commons for any purpose, but reproduction or distribution in any format is prohibited without the written permission of the authors.

Media Type

Text

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