Journal
COGNITIVE SCIENCE
Volume 27, Issue 3, Pages 379-402Publisher
WILEY
DOI: 10.1016/S0364-0213(03)00009-0
Keywords
natural selection; ideal observer; scene statistics; color perception; camouflage evolution
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We describe a formal framework for analyzing how statistical properties of natural environments and the process of natural selection interact to determine the design of perceptual and cognitive systems. The framework consists of two parts: a Bayesian ideal observer with a utility function appropriate for natural selection, and a Bayesian formulation of Darwin's theory of natural selection. Simulations of Bayesian natural selection were found to yield new insights, for example, into the co-evolution of camouflage, color vision, and decision criteria. The Bayesian framework captures and generalizes, in a formal way, many of the important ideas of other approaches to perception and cognition. (C) 2003 Cognitive Science Society, Inc. All rights reserved.
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