Application of Future State Decision Making in the EAGLE Combat Model

Abstract

EAGLE is a systematic combat simulation which is currently under development by the TRADOC Analysis Command at Fort Leavenworth. EAGLE is written using the Artificial Intelligence (AI) language LISP, which is ideally suited for describing both combat missions and decisions in understandable, nature language terms within an extremely sophisticated tactics knowledge base. Earlier reports, however, have asserted that systematic combat models which use the so- called present-state decisionmaking paradigm have a fundamentally flawed decisionmaking process. This report investigates the application in EAGLE of an alternative, future-state decisionmaking architecture, called the Generalized Value System (GVS), describes the general changes to EAGLE code and data structures necessary to impelement this methodology, and presents and example of how we believe this methodology would execute within EAGLE