Use of an expert system in a personnel selection process

摘要

The purpose of this study was to begin the development and testing of an Expert System (ES) to screen officer personnel records being considered for Command and General Staff College (CGSC). The study included a review of the Artificial Intelligence (AI) literature relevant to the military and human resource management, problem selection, knowledge acquisition, knowledge representation, knowledge encoding, and knowledge testing and evaluation. The AI computer language PROLOG was used to develop a basic rule-based expert system called BOARDEX. Data from mock officer personnel records obtained from U.S. Army Total Personnel Command (PERSCOM) were entered into BOARDEX. Results from BOARDEX were correlated to votes generated by a board consisting of 10 human experts from the U.S. Army War College Class of 1996. The results show that BOARDEX's decisions are not statistically different from the decisions made by human experts.