From Efficient Coding to Information Gain: Information-Theoretic Principles in Models of Human Decision Making

Mikaela Akrenius, Laurence T. Maloney, Jonathan D. Nelson

Research output: Contribution to conferencePaperpeer-review

Original languageEnglish (US)
Pages9-10
Number of pages2
StatePublished - 2020
Event42nd Annual Meeting of the Cognitive Science Society: Developing a Mind: Learning in Humans, Animals, and Machines, CogSci 2020 - Virtual, Online
Duration: Jul 29 2020Aug 1 2020

Conference

Conference42nd Annual Meeting of the Cognitive Science Society: Developing a Mind: Learning in Humans, Animals, and Machines, CogSci 2020
CityVirtual, Online
Period7/29/208/1/20

Keywords

  • cognitive modeling
  • decision making under risk
  • efficient coding
  • entropy
  • hypothesis testing
  • information theory
  • perceptual choice

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Human-Computer Interaction
  • Cognitive Neuroscience

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