An attempt is made to see recent developments in knowledge representation, clustered around Minsky 's theory of frames, and the more classical modeling of natural processes, originating in Newton's mechanics, in a unified perspective. Defining knowledge as homomorphic representation, we view classical models as capable of providing behavioral knowledge but lacking in capability to represent important structural knowledge and meta-knowledge. He discuss a framework, inspired by system theoretic concepts, for combining structural and behavioral representation in a form suitable for goal-directed model construction. We conclude by drawing several implications of this approach for system design, artificial intelligence, modeling, and simulation.
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