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Incorporating AI into Military Decision Making: An Experiment
July/August 2003 (vol. 18 no. 4)
pp. 18-26
Robert Rasch, US Army
Alexander Kott, BBN Technologies
Kenneth D. Forbus, Northwestern University

The US Army Battle Command Battle Lab conducted experimental explorations of AI-based decision aids for performing several critical steps of a US Army brigade Military Decision Making Process: from capturing a high-level course of action to producing a detailed analysis and plan of tasks. The Integrated Course of Action Critiquing and Elaboration System (ICCES) integrated several available technologies based largely on AI techniques, ranging from machine-understandable course-of-action representations entered via sketching and constrained natural language to interleaved adversarial planning and scheduling. The experiment involved comparing processes and products of military decision making with and without the decision aids. The results alleviated concerns about potential negative impacts of such tools on the creative aspects of the art of war, showed potential for dramatic time savings during MDMP, and confirmed the technologies' maturity and suitability for near-future deployment.

Index Terms:
military decision making, planning and scheduling, experimental AI, decision aids, knowledge-based systems, qualitative reasoning, course-of-action analysis, sketch-based interfaces
Citation:
Robert Rasch, Alexander Kott, Kenneth D. Forbus, "Incorporating AI into Military Decision Making: An Experiment," IEEE Intelligent Systems, vol. 18, no. 4, pp. 18-26, July-Aug. 2003, doi:10.1109/MIS.2003.1217624
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