Military Applications of Artificial Intelligence
March – June 2001
Instructors: MAJ Jim Donlon, the Director of the Knowledge Engineering Group at the USAWC Center for Strategic Leadership and Dr. Tony Lopez, the Chair of Artificial Intelligence of the Knowledge Engineering Group at the USAWC Center for Strategic Leadership
During this course the students have used an extended version of Disciple for two purposes: 1) to learn about basic areas of Artificial Intelligence, such as Knowledge Representation, Problem Solving, Knowledge Acquisition and Learning, and 2) to develop intelligent agents for the identification of strategic center of gravity candidates (as their class project). The students have been organized in five two-student teams, each team using Disciple to develop an intelligent agent for COG identification, based on a different strategic scenario. The scenarios were carried forward from the COG class (Leyte 1944, Inchon 1950, Falklands 1982, Grenada 1983, Panama 1989). Four of the five teams included a student that has previously taken the COG class and was therefore continuing to use the scenario used in that class. As opposed to the COG courses, in the MAAI course the students have used all the modules of Disciple: the scenario elicitation module, the domain modeling module, the task formalization module, the rule learning module, the rule refinement module and the problem solving module, as part of their class projects.
Lecture notes on Disciple-CoG/RKF