Abstract
Planning and simulation models share the characteristic that they involve reasoning about hypothetical sequences of activities. These may be naturally described in a graph structure, e.g., a state transition diagram or a Petri net. A logic programming framework is proposed for describing the problem domain (‘model base’) of planning and simulation problems in logical form, separate from the inferencing mechanisms applied to them. Applications are to dynamic programming, decision trees, PERT networks, and discrete event simulation.
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