Course of Action Display and Evaluation Tool: Difference between revisions

Revision as of 00:43, 26 May 2025

Revision as of 02:18, 26 May 2025

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Course of Action Display and Evaluation Tool (CADET) was a research program, and the eponymous prototype software system, that applied knowledge-based techniques of Artificial Intelligence to the problem of battle planning. CADET was also known as Course of Action Display and Elaboration Tool.<ref name="Rasch-2003-Incorporating">Rasch, Robert, Alexander Kott, and Kenneth D. Forbus. "Incorporating AI into military decision making: an experiment." IEEE Intelligent Systems 18.4 (2003): 18-26.</ref> It was considered an early example of such systems<ref>Schuster, E. (2018). When Something Has to Give: The Intersection of Artificial Intelligence, Military Decision-Making and International Humanitarian Law. Thesis, Lund University, Sweden, 2018</ref> and was funded by the United States Army and by the [[Defense Advanced Research Projects Agency]] (DARPA). CADET influenced a later DARPA program called RAID <ref>Kott, A., Real-time Adversarial Reasoning and Decision-making Program, Proceedings of the 10th ICCRT Symposium, McLean, Virginia, USA,13–16 June 2005. Online at http://www.dodccrp.org/events/10th_ICCRTS/CD/presentations/170.pdf </ref> which in turn produced a technology adopted by the United States Army and the United States Marine Corps.<ref>Stevens, Jonathan, Ms Latika Eifert, Stephen R. Serge, and Sean Mondesire. "Training Effectiveness Evaluation of Lightweight Game-based Constructive Simulation." Proceedings of the ModSim Conference, 2016. Online at

https://www.modsimworld.org/papers/2016/Training_Effectiveness_Evaluation_of_Lightweight_Game-based_Constructive_Simulation.pdf</ref> <ref>{{cite web | url=https://militaryembedded.com/ai/machine-learning/bae-systems-prototype-selected-for-us-marine-corps-wargaming-and-analysis-center | title=BAE Systems' prototype selected for U.S. Marine Corps Wargaming and Analysis Center - Military Embedded Systems }}</ref>

== History ==

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In 1997, the United States Army awarded the Carnegie Group Inc. $750K for SBIR Phase II. The intent was to develop “...a war-gaming modeling and analysis Decision Support System (DSS), … CADET will consist of a combination of Knowledge-Based and decision analytic tools and technologies to provide fast nimble COA war-gaming modeling, simulation, and animation under direct control of the commander and staff. ...Phase II will result in an operations prototype (OP) suitable for use and evaluation in field exercises. A fully functional COA analyzer/wargaming DSS for the commander and staff would be developed in Phase III.”<ref>{{cite web | url=https://www.sbir.gov/awards/28447 | title=Award &#124; SBIR }}</ref>

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In early 2000s, CADET influenced the DARPA RAID program (started 2004).<ref>Kott, A., Real-time Adversarial Reasoning and Decision-making Program, Proceedings of the 10th ICCRT Symposium, McLean, Virginia, USA,13–16 June 2005. Online at http://www.dodccrp.org/events/10th_ICCRTS/CD/presentations/170.pdf </ref> The RAID program in turn produced a technology adopted by the Army and the United Sattes Marine Corps.<ref>Stevens, Jonathan, Ms Latika Eifert, Stephen R. Serge, and Sean Mondesire. "Training Effectiveness Evaluation of Lightweight Game-based Constructive Simulation." Proceedings of the ModSim Conference, 2016. Online at

https://www.modsimworld.org/papers/2016/Training_Effectiveness_Evaluation_of_Lightweight_Game-based_Constructive_Simulation.pdf</ref> <ref>{{cite web | url=https://militaryembedded.com/ai/machine-learning/bae-systems-prototype-selected-for-us-marine-corps-wargaming-and-analysis-center | title=BAE Systems' prototype selected for U.S. Marine Corps Wargaming and Analysis Center - Military Embedded Systems }}</ref>