Literature DB >> 34964045

How the Mind Creates Structure: Hierarchical Learning of Action Sequences.

Maria K Eckstein1, Anne G E Collins1.   

Abstract

Humans have the astonishing capacity to quickly adapt to varying environmental demands and reach complex goals in the absence of extrinsic rewards. Part of what underlies this capacity is the ability to flexibly reuse and recombine previous experiences, and to plan future courses of action in a psychological space that is shaped by these experiences. Decades of research have suggested that humans use hierarchical representations for efficient planning and flexibility, but the origin of these representations has remained elusive. This study investigates how 73 participants learned hierarchical representations through experience, in a task in which they had to perform complex action sequences to obtain rewards. Complex action sequences were composed of simpler action sequences, which were not rewarded, but whose completion was signaled to participants. We investigated the process with which participants learned to perform simpler action sequences and combined them into complex action sequences. After learning action sequences, participants completed a transfer phase in which either simple sequences or complex sequences were manipulated without notice. Relearning progressed slower when simple than complex sequences were changed, in accordance with a hierarchical representations in which lower levels are quickly consolidated, potentially stabilizing exploration, while higher levels remain malleable, with benefits for flexible recombination.

Entities:  

Keywords:  Hierarchical cognition; action sequence learning; hierarchical reinforcement learning; reinforcement learning

Year:  2021        PMID: 34964045      PMCID: PMC8711273     

Source DB:  PubMed          Journal:  Cogsci


  15 in total

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4.  On The Necessity of Abstraction.

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5.  Computational evidence for hierarchically structured reinforcement learning in humans.

Authors:  Maria K Eckstein; Anne G E Collins
Journal:  Proc Natl Acad Sci U S A       Date:  2020-11-24       Impact factor: 11.205

6.  Induction and Relief of Curiosity Elicit Parietal and Frontal Activity.

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Journal:  J Neurosci       Date:  2018-02-08       Impact factor: 6.167

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Authors:  Charles Kemp; Joshua B Tenenbaum
Journal:  Proc Natl Acad Sci U S A       Date:  2008-07-31       Impact factor: 11.205

8.  Post-error adjustments.

Authors:  Claudia Danielmeier; Markus Ullsperger
Journal:  Front Psychol       Date:  2011-09-15

9.  Optimal behavioral hierarchy.

Authors:  Alec Solway; Carlos Diuk; Natalia Córdova; Debbie Yee; Andrew G Barto; Yael Niv; Matthew M Botvinick
Journal:  PLoS Comput Biol       Date:  2014-08-14       Impact factor: 4.475

10.  Trait impulsivity and acute stress interact to influence choice and decision speed during multi-stage decision-making.

Authors:  Candace M Raio; Anna B Konova; A Ross Otto
Journal:  Sci Rep       Date:  2020-05-08       Impact factor: 4.379

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  1 in total

Review 1.  Hierarchical Reinforcement Learning, Sequential Behavior, and the Dorsal Frontostriatal System.

Authors:  Miriam Janssen; Christopher LeWarne; Diana Burk; Bruno B Averbeck
Journal:  J Cogn Neurosci       Date:  2022-07-01       Impact factor: 3.420

  1 in total

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