Active Inference in OpenAI Gym: A Paradigm for Computational Investigations Into Psychiatric Illness.

Journal: Biological psychiatry. Cognitive neuroscience and neuroimaging
PMID: 30082215

Abstract

BACKGROUND: Artificial intelligence has recently attained humanlike performance in a number of gamelike domains. These advances have been spurred by brain-inspired architectures and algorithms such as hierarchical filtering and reinforcement learning. OpenAI Gym is an open-source platform in which to train, test, and benchmark algorithms-it provides a range of tasks, including those of classic arcade games such as Doom. Here we describe how the platform might be used as a simulation, test, and diagnostic paradigm for psychiatric conditions.

Authors

  • Maell Cullen
    Department of Engineering Mathematics, Merchant Venturers School of Engineering, University of Bristol, Bristol, United Kingdom. Electronic address: maell.cullen@bristol.ac.uk.
  • Ben Davey
    Department of Engineering Mathematics, Merchant Venturers School of Engineering, University of Bristol, Bristol, United Kingdom.
  • Karl J Friston
    Wellcome Trust Centre for Neuroimaging, University College London, London, United Kingdom.
  • Rosalyn J Moran
    Department of Engineering Mathematics, Merchant Venturers School of Engineering, University of Bristol, Bristol, United Kingdom; Department of Neuroimaging, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.

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