Cargando…
Metacognitive Control of Categorial Neurobehavioral Decision Systems
The competing neuro-behavioral decision systems (CNDS) model proposes that the degree to which an individual discounts the future is a function of the relative hyperactivity of an impulsive system based on the limbic and paralimbic brain regions and the relative hypoactivity of an executive system b...
Autor principal: | |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4759293/ https://www.ncbi.nlm.nih.gov/pubmed/26925004 http://dx.doi.org/10.3389/fpsyg.2016.00170 |
_version_ | 1782416699809595392 |
---|---|
author | Foxall, Gordon R. |
author_facet | Foxall, Gordon R. |
author_sort | Foxall, Gordon R. |
collection | PubMed |
description | The competing neuro-behavioral decision systems (CNDS) model proposes that the degree to which an individual discounts the future is a function of the relative hyperactivity of an impulsive system based on the limbic and paralimbic brain regions and the relative hypoactivity of an executive system based in prefrontal cortex (PFC). The model depicts the relationship between these categorial systems in terms of the antipodal neurophysiological, behavioral, and decision (cognitive) functions that engender normal and addictive responding. However, a case may be made for construing several components of the impulsive and executive systems depicted in the model as categories (elements) of additional systems that are concerned with the metacognitive control of behavior. Hence, this paper proposes a category-based structure for understanding the effects on behavior of CNDS, which includes not only the impulsive and executive systems of the basic model but a superordinate level of reflective or rational decision-making. Following recent developments in the modeling of cognitive control which contrasts Type 1 (rapid, autonomous, parallel) processing with Type 2 (slower, computationally demanding, sequential) processing, the proposed model incorporates an arena in which the potentially conflicting imperatives of impulsive and executive systems are examined and from which a more appropriate behavioral response than impulsive choice emerges. This configuration suggests a forum in which the interaction of picoeconomic interests, which provide a cognitive dimension for CNDS, can be conceptualized. This proposition is examined in light of the resolution of conflict by means of bundling. |
format | Online Article Text |
id | pubmed-4759293 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-47592932016-02-26 Metacognitive Control of Categorial Neurobehavioral Decision Systems Foxall, Gordon R. Front Psychol Psychology The competing neuro-behavioral decision systems (CNDS) model proposes that the degree to which an individual discounts the future is a function of the relative hyperactivity of an impulsive system based on the limbic and paralimbic brain regions and the relative hypoactivity of an executive system based in prefrontal cortex (PFC). The model depicts the relationship between these categorial systems in terms of the antipodal neurophysiological, behavioral, and decision (cognitive) functions that engender normal and addictive responding. However, a case may be made for construing several components of the impulsive and executive systems depicted in the model as categories (elements) of additional systems that are concerned with the metacognitive control of behavior. Hence, this paper proposes a category-based structure for understanding the effects on behavior of CNDS, which includes not only the impulsive and executive systems of the basic model but a superordinate level of reflective or rational decision-making. Following recent developments in the modeling of cognitive control which contrasts Type 1 (rapid, autonomous, parallel) processing with Type 2 (slower, computationally demanding, sequential) processing, the proposed model incorporates an arena in which the potentially conflicting imperatives of impulsive and executive systems are examined and from which a more appropriate behavioral response than impulsive choice emerges. This configuration suggests a forum in which the interaction of picoeconomic interests, which provide a cognitive dimension for CNDS, can be conceptualized. This proposition is examined in light of the resolution of conflict by means of bundling. Frontiers Media S.A. 2016-02-19 /pmc/articles/PMC4759293/ /pubmed/26925004 http://dx.doi.org/10.3389/fpsyg.2016.00170 Text en Copyright © 2016 Foxall. http://creativecommons.org/licenses/by/4.0/ 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 | Psychology Foxall, Gordon R. Metacognitive Control of Categorial Neurobehavioral Decision Systems |
title | Metacognitive Control of Categorial Neurobehavioral Decision Systems |
title_full | Metacognitive Control of Categorial Neurobehavioral Decision Systems |
title_fullStr | Metacognitive Control of Categorial Neurobehavioral Decision Systems |
title_full_unstemmed | Metacognitive Control of Categorial Neurobehavioral Decision Systems |
title_short | Metacognitive Control of Categorial Neurobehavioral Decision Systems |
title_sort | metacognitive control of categorial neurobehavioral decision systems |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4759293/ https://www.ncbi.nlm.nih.gov/pubmed/26925004 http://dx.doi.org/10.3389/fpsyg.2016.00170 |
work_keys_str_mv | AT foxallgordonr metacognitivecontrolofcategorialneurobehavioraldecisionsystems |