期刊
COGNITIVE SCIENCE
卷 27, 期 3, 页码 379-402出版社
WILEY
DOI: 10.1016/S0364-0213(03)00009-0
关键词
natural selection; ideal observer; scene statistics; color perception; camouflage evolution
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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