This thesis describes a two level expert planning system that first helps to develop a game plan for a high school football game and then aids in the selection of plays during that game. Built using Rulemaster, an expert system development tool, the system, called COACH, is initially provided observed data through the answering of questions which represents the receiving of a scouting report. This information is stored in a data file for further use. Also created during this questioning period is a data file containing comparisons of key players on the offense against their counterparts on the opponent's defensive team. Using a rule base established from interviews with an expert football coach, COACH creates a constraint file, the game plan, which is used during the play selection portion of the programming. During this phase, COACH is provided the current game situation and subsequently selects one or more plays from the game plan deemed most likely to be successful .

Library of Congress Subject Headings

Football--Rules--Data processing; Expert systems (Computer science)--Design; Strategic planning--Data processing; Football--Data processing

Publication Date


Document Type


Department, Program, or Center

Computer Science (GCCIS)


McAlee, William

Advisor/Committee Member

Anderson, Peter


Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works. Physical copy available through RIT's The Wallace Library at: GV951.15 .H377 1989


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