The role of (bounded) optimization in theory testing and prediction: In response to: Suboptimality in perceptual decision making

Andrew Howes, Richard L. Lewis

Research output: Contribution to journalComment/debatepeer-review

Abstract

We argue that a radically increased emphasis on (bounded) optimality can contribute to cognitive science by supporting prediction. Bounded optimality (computational rationality), an idea that borrowed from artificial intelligence, supports a priori behavioral prediction from constrained generative models of cognition. Bounded optimality thereby addresses serious failings with the logic and testing of descriptive models of perception and action.
Original languageEnglish
Article numbere232
Number of pages1
JournalBehavioral and Brain Sciences
Volume41
DOIs
Publication statusE-pub ahead of print - 10 Jan 2019

ASJC Scopus subject areas

  • Neuropsychology and Physiological Psychology
  • Physiology
  • Behavioral Neuroscience

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