Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1016/S0364-0213(03)00009-0 | Cognitive Science |
Keywords | Field | DocType |
Natural selection,Ideal observer,Scene statistics,Color perception,Camouflage evolution | Social psychology,Variable-order Bayesian network,Multiple-criteria decision analysis,Natural selection,Psychology,Scene statistics,Evolutionary psychology,Artificial intelligence,Cognition,Perception,Bayesian probability | Journal |
Volume | Issue | ISSN |
27 | 3 | 0364-0213 |
Citations | PageRank | References |
11 | 1.68 | 3 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wilson S. Geisler | 1 | 333 | 31.08 |
| Randy L Diehl | 2 | 32 | 4.12 |