title: An evolutionary perspective on information processing.
abstract: Behavioral ecologists often assume that natural selection will produce organisms that make optimal decisions. In the context of information processing, this means that the behavior of animals will be consistent with models from fields such as signal detection theory and Bayesian decision theory. We discuss work that applies such models to animal behavior and use the case of Bayesian updating to make the distinction between a description of behavior at the level of optimal decisions and a mechanistic account of how decisions are made. The idea of ecological rationality is that natural selection shapes an animal's decision mechanisms to suit its environment. As a result, decision-making mechanisms may not perform well outside the context in which they evolved. Although the assumption of ecological rationality is plausible, we argue that the exact nature of the relationship between ecology and cognitive mechanism may not be obvious.
authors.affiliation: School of Biological Sciences, University of Bristol.
authors.forename: Peter C
authors.initials: PC
authors.lastname: Trimmer
authors.forename: Alasdair I
authors.initials: AI
authors.lastname: Houston
mesh_terms: D000465:Algorithms; D000818:Animals; D001499:Bayes Theorem; D001522:Behavior, Animal; D003071:Cognition / Q000502:physiology*; D003657:Decision Making / Q000502:physiology*; D004777:Environment; D008606:Mental Processes / Q000502:physiology*; D012641:Selection, Genetic; D017603:Signal Detection, Psychological
keywords: Bayesian decision making; Bias; Ecological rationality; Natural selection; Signal detection