@MISC{Peot92conditionalnonlinear, author = {Mark A. Peot and David E. Smith}, title = {Conditional Nonlinear Planning}, year = {1992} }
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Abstract
Work-in-progress on the design of a conditional nonlinear planner is described. CNLP is a nonlinear planner that develops plans that account for foreseen uncertainties. CNLP represents an extension of the conditional planning technique of Warren [75] to the domain of nonlinear planning. 1 Problem Most classical AI planners develop unconditional sequences of actions. Observations of the environment during plan execution have no effect on the sequence of actions executed during the course of that plan. In many planning domains, it is desirable to develop a plan that takes advantage of observations made during plan execution to select the actions that are executed. This is a conditional plan. The actions in the plan are conditioned on observations made prior to their execution. A conditional plan is necessary when uncertainties in the environment or in the results of actions preclude the selection of a single course of action to accomplish a goal. A conditional plan tests the environmen...