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Deep Active Inference and Scene Construction

  • Published:2020-10-28 Issue: Volume:3 Page:
  • ISSN:2624-8212
  • Container-title:Frontiers in Artificial Intelligence
  • language:
  • Short-container-title:Front. Artif. Intell.

Author:

Heins R. Conor,Mirza M. Berk,Parr Thomas,Friston Karl,Kagan Igor,Pooresmaeili Arezoo

Funder

European Research Council

Rosetrees Trust

Wellcome Trust

H2020 Marie Skłodowska-Curie Actions

Publisher

Frontiers Media SA

Reference79 articles.

1. Canonical microcircuits for predictive coding;Bastos;Neuron,2012

2. BealM. J. London, United KingdomGatsby Unit, University College LondonVariational algorithms for approximate bayesian inference2004

3. Expanding the active inference landscape: more intrinsic motivations in the perception-action loop;Biehl;Front. Neurorobot.,2018

4. Variational inference: a review for statisticians;Blei;J. Am. Stat. Assoc.,2017

5. A tutorial on the free-energy framework for modelling perception and learning;Bogacz;J. Math. Psychol.,2017

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1. An Overview of the Free Energy Principle and Related Research;Neural Computation;2024-04-23

2. Beamforming with Free Energy Principle under Hierarchical Codebook;2024 International Conference on Computing, Networking and Communications (ICNC);2024-02-19

3. Arousal coherence, uncertainty, and well-being: an active inference account;Neuroscience of Consciousness;2024-01-01

4. The path forward for modeling action-oriented cognition as active inference;Physics of Life Reviews;2023-09

5. Embodied Object Representation Learning and Recognition;Frontiers in Neurorobotics;2022-04-14
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