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Dynamic action theory: a framework for decision support modeling of digitized battlefield information

A theory for developing display decision support systems for a complex system with dynamic sources of information is proposed. The dynamic action theory utilizes the constructive concepts of recognition-primed decision (RPD) making, mental simulation and introspection to develop a computational framework for decision making in a dynamic system. The theory incorporates methodologies for belief disposition and rehearsals during problem solving. Planning and goal-attainment are based on a structured, heterocyclical means-ends paradigm. This concept supports the nonlinear behavior of human mental processes.