Literature DB >> 22940577

Planning as inference.

Matthew Botvinick1, Marc Toussaint.   

Abstract

Recent developments in decision-making research are bringing the topic of planning back to center stage in cognitive science. This renewed interest reopens an old, but still unanswered question: how exactly does planning happen? What are the underlying information processing operations and how are they implemented in the brain? Although a range of interesting possibilities exists, recent work has introduced a potentially transformative new idea, according to which planning is accomplished through probabilistic inference.
Copyright © 2012. Published by Elsevier Ltd.

Mesh:

Year:  2012        PMID: 22940577     DOI: 10.1016/j.tics.2012.08.006

Source DB:  PubMed          Journal:  Trends Cogn Sci        ISSN: 1364-6613            Impact factor:   20.229


  68 in total

1.  Divide et impera: subgoaling reduces the complexity of probabilistic inference and problem solving.

Authors:  Domenico Maisto; Francesco Donnarumma; Giovanni Pezzulo
Journal:  J R Soc Interface       Date:  2015-03-06       Impact factor: 4.118

2.  Prefrontal Computation as Active Inference.

Authors:  Thomas Parr; Rajeev Vijay Rikhye; Michael M Halassa; Karl J Friston
Journal:  Cereb Cortex       Date:  2020-03-21       Impact factor: 5.357

3.  A Bayesian model of context-sensitive value attribution.

Authors:  Francesco Rigoli; Karl J Friston; Cristina Martinelli; Mirjana Selaković; Sukhwinder S Shergill; Raymond J Dolan
Journal:  Elife       Date:  2016-06-22       Impact factor: 8.140

Review 4.  Believing in dopamine.

Authors:  Samuel J Gershman; Naoshige Uchida
Journal:  Nat Rev Neurosci       Date:  2019-09-30       Impact factor: 34.870

Review 5.  Re-membering the body: applications of computational neuroscience to the top-down control of regeneration of limbs and other complex organs.

Authors:  G Pezzulo; M Levin
Journal:  Integr Biol (Camb)       Date:  2015-11-16       Impact factor: 2.192

6.  A Dynamic Connectome Supports the Emergence of Stable Computational Function of Neural Circuits through Reward-Based Learning.

Authors:  David Kappel; Robert Legenstein; Stefan Habenschuss; Michael Hsieh; Wolfgang Maass
Journal:  eNeuro       Date:  2018-04-24

7.  The Discrete and Continuous Brain: From Decisions to Movement-And Back Again.

Authors:  Thomas Parr; Karl J Friston
Journal:  Neural Comput       Date:  2018-06-12       Impact factor: 2.026

Review 8.  Deep temporal models and active inference.

Authors:  Karl J Friston; Richard Rosch; Thomas Parr; Cathy Price; Howard Bowman
Journal:  Neurosci Biobehav Rev       Date:  2017-04-14       Impact factor: 8.989

Review 9.  Tea With Milk? A Hierarchical Generative Framework of Sequential Event Comprehension.

Authors:  Gina R Kuperberg
Journal:  Top Cogn Sci       Date:  2020-10-06

10.  Variability in Action Selection Relates to Striatal Dopamine 2/3 Receptor Availability in Humans: A PET Neuroimaging Study Using Reinforcement Learning and Active Inference Models.

Authors:  Rick A Adams; Michael Moutoussis; Matthew M Nour; Tarik Dahoun; Declan Lewis; Benjamin Illingworth; Mattia Veronese; Christoph Mathys; Lieke de Boer; Marc Guitart-Masip; Karl J Friston; Oliver D Howes; Jonathan P Roiser
Journal:  Cereb Cortex       Date:  2020-05-18       Impact factor: 5.357

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