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Modeling habits as self-sustaining patterns of sensorimotor behavior
In the recent history of psychology and cognitive neuroscience, the notion of habit has been reduced to a stimulus-triggered response probability correlation. In this paper we use a computational model to present an alternative theoretical view (with some philosophical implications), where habits ar...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4126554/ https://www.ncbi.nlm.nih.gov/pubmed/25152724 http://dx.doi.org/10.3389/fnhum.2014.00590 |
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author | Egbert, Matthew D. Barandiaran, Xabier E. |
author_facet | Egbert, Matthew D. Barandiaran, Xabier E. |
author_sort | Egbert, Matthew D. |
collection | PubMed |
description | In the recent history of psychology and cognitive neuroscience, the notion of habit has been reduced to a stimulus-triggered response probability correlation. In this paper we use a computational model to present an alternative theoretical view (with some philosophical implications), where habits are seen as self-maintaining patterns of behavior that share properties in common with self-maintaining biological processes, and that inhabit a complex ecological context, including the presence and influence of other habits. Far from mechanical automatisms, this organismic and self-organizing concept of habit can overcome the dominating atomistic and statistical conceptions, and the high temporal resolution effects of situatedness, embodiment and sensorimotor loops emerge as playing a more central, subtle and complex role in the organization of behavior. The model is based on a novel “iterant deformable sensorimotor medium (IDSM),” designed such that trajectories taken through sensorimotor-space increase the likelihood that in the future, similar trajectories will be taken. We couple the IDSM to sensors and motors of a simulated robot, and show that under certain conditions, the IDSM conditions, the IDSM forms self-maintaining patterns of activity that operate across the IDSM, the robot's body, and the environment. We present various environments and the resulting habits that form in them. The model acts as an abstraction of habits at a much needed sensorimotor “meso-scale” between microscopic neuron-based models and macroscopic descriptions of behavior. Finally, we discuss how this model and extensions of it can help us understand aspects of behavioral self-organization, historicity and autonomy that remain out of the scope of contemporary representationalist frameworks. |
format | Online Article Text |
id | pubmed-4126554 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-41265542014-08-22 Modeling habits as self-sustaining patterns of sensorimotor behavior Egbert, Matthew D. Barandiaran, Xabier E. Front Hum Neurosci Neuroscience In the recent history of psychology and cognitive neuroscience, the notion of habit has been reduced to a stimulus-triggered response probability correlation. In this paper we use a computational model to present an alternative theoretical view (with some philosophical implications), where habits are seen as self-maintaining patterns of behavior that share properties in common with self-maintaining biological processes, and that inhabit a complex ecological context, including the presence and influence of other habits. Far from mechanical automatisms, this organismic and self-organizing concept of habit can overcome the dominating atomistic and statistical conceptions, and the high temporal resolution effects of situatedness, embodiment and sensorimotor loops emerge as playing a more central, subtle and complex role in the organization of behavior. The model is based on a novel “iterant deformable sensorimotor medium (IDSM),” designed such that trajectories taken through sensorimotor-space increase the likelihood that in the future, similar trajectories will be taken. We couple the IDSM to sensors and motors of a simulated robot, and show that under certain conditions, the IDSM conditions, the IDSM forms self-maintaining patterns of activity that operate across the IDSM, the robot's body, and the environment. We present various environments and the resulting habits that form in them. The model acts as an abstraction of habits at a much needed sensorimotor “meso-scale” between microscopic neuron-based models and macroscopic descriptions of behavior. Finally, we discuss how this model and extensions of it can help us understand aspects of behavioral self-organization, historicity and autonomy that remain out of the scope of contemporary representationalist frameworks. Frontiers Media S.A. 2014-08-08 /pmc/articles/PMC4126554/ /pubmed/25152724 http://dx.doi.org/10.3389/fnhum.2014.00590 Text en Copyright © 2014 Egbert and Barandiaran. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Egbert, Matthew D. Barandiaran, Xabier E. Modeling habits as self-sustaining patterns of sensorimotor behavior |
title | Modeling habits as self-sustaining patterns of sensorimotor behavior |
title_full | Modeling habits as self-sustaining patterns of sensorimotor behavior |
title_fullStr | Modeling habits as self-sustaining patterns of sensorimotor behavior |
title_full_unstemmed | Modeling habits as self-sustaining patterns of sensorimotor behavior |
title_short | Modeling habits as self-sustaining patterns of sensorimotor behavior |
title_sort | modeling habits as self-sustaining patterns of sensorimotor behavior |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4126554/ https://www.ncbi.nlm.nih.gov/pubmed/25152724 http://dx.doi.org/10.3389/fnhum.2014.00590 |
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