Priors in Animal and Artificial Intelligence: Where Does Learning Begin?

Journal: Trends in cognitive sciences
Published Date: Aug 7, 2018

Abstract

A major goal for the next generation of artificial intelligence (AI) is to build machines that are able to reason and cope with novel tasks, environments, and situations in a manner that approaches the abilities of animals. Evidence from precocial species suggests that driving learning through suitable priors can help to successfully face this challenge.

Authors

  • Elisabetta Versace
    Queen Mary University of London, School of Biological and Chemical Sciences, Department of Biological and Experimental Psychology, Mile End Road, London E1 4NS, UK. Electronic address: e.versace@qmul.ac.uk.
  • Antone Martinho-Truswell
    University of Oxford, Department of Zoology, New Radcliffe House, Oxford OX1 3PS, UK. Electronic address: antone.martinho@zoo.ox.ac.uk.
  • Alex Kacelnik
    University of Oxford, Department of Zoology, New Radcliffe House, Oxford OX1 3PS, UK.
  • Giorgio Vallortigara
    University of Trento, Center for Mind/Brain Sciences, Piazza Manifattura 1, Rovereto, Italy.

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