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Use of knowledge-based decision aids can help alleviate the challenges of planning complex military operations. We describe the CADET system, a knowledge-based tool capable of producing automatically (or with human guidance) Army battle plans with realistic degree of detail and complexity. In ongoing experiments, it compared favorably with human planners.(More)
Use of knowledge-based decision aids can help alleviate the challenges of planning complex operations. We describe a knowledge-based tool capable of translating a high-level concept for a tactical military operation into a fully detailed, actionable plan, producing automatically (or with human guidance) plans with realistic degree of detail and complexity.(More)
Use of knowledge-based planning tools can help alleviate the challenges of planning a military operation in a coalition environment. We explore these challenges and potential contributions of knowledge-based tools using as an example the CADET system, a knowledge-based tool capable of producing automatically (or with human guidance) battle plans with(More)
Use of intelligent decision aids can help alleviate the challenges of planning complex operations. We describe integrated algorithms, and a tool capable of translating a high-level concept for a tactical military operation into a fully detailed, actionable plan, producing automatically (or with human guidance) plans with realistic degree of detail and of(More)
Use of knowledge-based planning tools can help alleviate the challenges of planning a military operation in a coalition environment. We explore these challenges and potential contributions of knowledge-based tools using as an example the CADET system, a knowledge-based tool capable of producing automatically (or with human guidance) battle plans with(More)
Use of knowledge-based decision aids can help alleviate the challenges of planning complex military operations. We describe the CADET system, a knowledge-based tool capable of producing automatically (or with human guidance) Army battle plans with realistic degree of detail and complexity. In ongoing experiments, it compared favorably with human planners.(More)
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