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Use of intelligent decision aids can help alleviate the challenges ofplanning complex operations. We describe integrated algorithms, and a toolcapable of translating a high-level concept for a tactical military operationinto a fully detailed, actionable plan, producing automatically (or with humanguidance) plans with realistic degree of detail and of human-like quality.Tight interleaving of several algorithms -- planning, adversary estimates,scheduling, routing, attrition and consumption estimates -- comprise thecomputational approach of this tool. Although originally developed for Armylarge-unit operations, the technology is generic and also applies to a numberof other domains, particularly in critical situations requiring detailedplanning within a constrained period of time. In this paper, we focusparticularly on the engineering tradeoffs in the design of the tool. In anexperimental evaluation, reminiscent of the Turing test, the tool's performancecompared favorably with human planners.

Decision Aids for Adversarial Planning in Military Operations: Algorithms, Tools, and Turing-test-like Experimental Validation