Joseph A. Lewis

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—We describe a generalization of Copycat, an important computational architecture for high-level perception. We show how this generalization simplifies the application of computational perception to problems previously beyond the reach of the fluid analogy-making principles underlying Copycat. We also discuss the ways in which this generalization addresses(More)
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