A pluralist framework for the philosophy of social neuroscience

Autores
Barberis, Sergio Daniel; Branca, Itatí; Venturelli, Nicolás
Año de publicación
2017
Idioma
inglés
Tipo de recurso
parte de libro
Estado
versión publicada
Descripción
Fil: Barberis, Sergio Daniel. Universidad de Buenos Aires; Argentina.
Fil: Branca, Itatí. Universidad Nacional de Córdoba. Facultad de Filosofía y Humanidades; Argentina.
Fil: Venturelli, Nicolás. Universidad Nacional de Córdoba. Facultad de Filosofía y Humanidades; Argentina.
The philosophy of neuroscience has been a dynamic field of research in the philosophy of science since the turn of the century. As a result of this activity, a new mechanistic philosophy has emerged as the dominant approach to explanation and scientific integration in neuroscience. Rather surprisingly, the philosophy of social neuroscience has remained an almost uncharted territory. In this chapter, we advance a pluralistic framework for such a field. Our framework seeks to ground the proliferation of modeling approaches, explanatory styles, and integrative trends within social neuroscience. First, we highlight the plurality of modeling approaches pursued by social neuroscientists by reviewing the distinctive features of mechanistic models, dynamical models, computational models, and optimality models. Second, we reject unitary explanatory perspectives and emphasize the plurality of explanatory styles that can emerge from those modeling approaches, considering their contents and vehicles. As regards their content, we present two kinds of information a model may provide, namely, causal/compositional or non-causal/structural information. As regards their vehicles, we examine and illustrate different guiding representational ideals (e.g., precision, generality, and simplicity). Third, we turn to integrative trends in social neuroscience, assessing the prospects of inter-theoretical reduction, mechanistic mosaic unity, and multi-level integrative analysis. We contend that the pluralist framework we develop is an adequate approach to scientific modeling, explanation, and integration in social neuroscience. We additionally address how this pluralistic perspective may shed light on the intersection between the neural and the social realms, in a context of greater interdisciplinary collaboration between neuroscientists and social scientists.
http://www.springer.com/gp/behavioral-sciences
Fil: Barberis, Sergio Daniel. Universidad de Buenos Aires; Argentina.
Fil: Branca, Itatí. Universidad Nacional de Córdoba. Facultad de Filosofía y Humanidades; Argentina.
Fil: Venturelli, Nicolás. Universidad Nacional de Córdoba. Facultad de Filosofía y Humanidades; Argentina.
Otras Ciencias Biológicas
Materia
SOCIAL NEUROSCIENCE
MODELS
EXPLANATION
PLURALISM
NEUSROCIENCIA SOCIAL
MODELOS
EXPLICACIÓN
PLURALISMO
Nivel de accesibilidad
acceso abierto
Condiciones de uso
Repositorio
Repositorio Digital Universitario (UNC)
Institución
Universidad Nacional de Córdoba
OAI Identificador
oai:rdu.unc.edu.ar:11086/551222

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oai_identifier_str oai:rdu.unc.edu.ar:11086/551222
network_acronym_str RDUUNC
repository_id_str 2572
network_name_str Repositorio Digital Universitario (UNC)
spelling A pluralist framework for the philosophy of social neuroscienceBarberis, Sergio DanielBranca, ItatíVenturelli, NicolásSOCIAL NEUROSCIENCEMODELSEXPLANATIONPLURALISMNEUSROCIENCIA SOCIALMODELOSEXPLICACIÓNPLURALISMOFil: Barberis, Sergio Daniel. Universidad de Buenos Aires; Argentina.Fil: Branca, Itatí. Universidad Nacional de Córdoba. Facultad de Filosofía y Humanidades; Argentina.Fil: Venturelli, Nicolás. Universidad Nacional de Córdoba. Facultad de Filosofía y Humanidades; Argentina.The philosophy of neuroscience has been a dynamic field of research in the philosophy of science since the turn of the century. As a result of this activity, a new mechanistic philosophy has emerged as the dominant approach to explanation and scientific integration in neuroscience. Rather surprisingly, the philosophy of social neuroscience has remained an almost uncharted territory. In this chapter, we advance a pluralistic framework for such a field. Our framework seeks to ground the proliferation of modeling approaches, explanatory styles, and integrative trends within social neuroscience. First, we highlight the plurality of modeling approaches pursued by social neuroscientists by reviewing the distinctive features of mechanistic models, dynamical models, computational models, and optimality models. Second, we reject unitary explanatory perspectives and emphasize the plurality of explanatory styles that can emerge from those modeling approaches, considering their contents and vehicles. As regards their content, we present two kinds of information a model may provide, namely, causal/compositional or non-causal/structural information. As regards their vehicles, we examine and illustrate different guiding representational ideals (e.g., precision, generality, and simplicity). Third, we turn to integrative trends in social neuroscience, assessing the prospects of inter-theoretical reduction, mechanistic mosaic unity, and multi-level integrative analysis. We contend that the pluralist framework we develop is an adequate approach to scientific modeling, explanation, and integration in social neuroscience. We additionally address how this pluralistic perspective may shed light on the intersection between the neural and the social realms, in a context of greater interdisciplinary collaboration between neuroscientists and social scientists.http://www.springer.com/gp/behavioral-sciencesFil: Barberis, Sergio Daniel. Universidad de Buenos Aires; Argentina.Fil: Branca, Itatí. Universidad Nacional de Córdoba. Facultad de Filosofía y Humanidades; Argentina.Fil: Venturelli, Nicolás. Universidad Nacional de Córdoba. Facultad de Filosofía y Humanidades; Argentina.Otras Ciencias Biológicas2017info:eu-repo/semantics/bookPartinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_3248info:ar-repo/semantics/parteDeLibroapplication/pdf978-3-319-68420-8http://hdl.handle.net/11086/551222enginfo:eu-repo/semantics/openAccessreponame:Repositorio Digital Universitario (UNC)instname:Universidad Nacional de Córdobainstacron:UNC2025-09-04T12:31:34Zoai:rdu.unc.edu.ar:11086/551222Institucionalhttps://rdu.unc.edu.ar/Universidad públicaNo correspondehttp://rdu.unc.edu.ar/oai/snrdoca.unc@gmail.comArgentinaNo correspondeNo correspondeNo correspondeopendoar:25722025-09-04 12:31:34.847Repositorio Digital Universitario (UNC) - Universidad Nacional de Córdobafalse
dc.title.none.fl_str_mv A pluralist framework for the philosophy of social neuroscience
title A pluralist framework for the philosophy of social neuroscience
spellingShingle A pluralist framework for the philosophy of social neuroscience
Barberis, Sergio Daniel
SOCIAL NEUROSCIENCE
MODELS
EXPLANATION
PLURALISM
NEUSROCIENCIA SOCIAL
MODELOS
EXPLICACIÓN
PLURALISMO
title_short A pluralist framework for the philosophy of social neuroscience
title_full A pluralist framework for the philosophy of social neuroscience
title_fullStr A pluralist framework for the philosophy of social neuroscience
title_full_unstemmed A pluralist framework for the philosophy of social neuroscience
title_sort A pluralist framework for the philosophy of social neuroscience
dc.creator.none.fl_str_mv Barberis, Sergio Daniel
Branca, Itatí
Venturelli, Nicolás
author Barberis, Sergio Daniel
author_facet Barberis, Sergio Daniel
Branca, Itatí
Venturelli, Nicolás
author_role author
author2 Branca, Itatí
Venturelli, Nicolás
author2_role author
author
dc.subject.none.fl_str_mv SOCIAL NEUROSCIENCE
MODELS
EXPLANATION
PLURALISM
NEUSROCIENCIA SOCIAL
MODELOS
EXPLICACIÓN
PLURALISMO
topic SOCIAL NEUROSCIENCE
MODELS
EXPLANATION
PLURALISM
NEUSROCIENCIA SOCIAL
MODELOS
EXPLICACIÓN
PLURALISMO
dc.description.none.fl_txt_mv Fil: Barberis, Sergio Daniel. Universidad de Buenos Aires; Argentina.
Fil: Branca, Itatí. Universidad Nacional de Córdoba. Facultad de Filosofía y Humanidades; Argentina.
Fil: Venturelli, Nicolás. Universidad Nacional de Córdoba. Facultad de Filosofía y Humanidades; Argentina.
The philosophy of neuroscience has been a dynamic field of research in the philosophy of science since the turn of the century. As a result of this activity, a new mechanistic philosophy has emerged as the dominant approach to explanation and scientific integration in neuroscience. Rather surprisingly, the philosophy of social neuroscience has remained an almost uncharted territory. In this chapter, we advance a pluralistic framework for such a field. Our framework seeks to ground the proliferation of modeling approaches, explanatory styles, and integrative trends within social neuroscience. First, we highlight the plurality of modeling approaches pursued by social neuroscientists by reviewing the distinctive features of mechanistic models, dynamical models, computational models, and optimality models. Second, we reject unitary explanatory perspectives and emphasize the plurality of explanatory styles that can emerge from those modeling approaches, considering their contents and vehicles. As regards their content, we present two kinds of information a model may provide, namely, causal/compositional or non-causal/structural information. As regards their vehicles, we examine and illustrate different guiding representational ideals (e.g., precision, generality, and simplicity). Third, we turn to integrative trends in social neuroscience, assessing the prospects of inter-theoretical reduction, mechanistic mosaic unity, and multi-level integrative analysis. We contend that the pluralist framework we develop is an adequate approach to scientific modeling, explanation, and integration in social neuroscience. We additionally address how this pluralistic perspective may shed light on the intersection between the neural and the social realms, in a context of greater interdisciplinary collaboration between neuroscientists and social scientists.
http://www.springer.com/gp/behavioral-sciences
Fil: Barberis, Sergio Daniel. Universidad de Buenos Aires; Argentina.
Fil: Branca, Itatí. Universidad Nacional de Córdoba. Facultad de Filosofía y Humanidades; Argentina.
Fil: Venturelli, Nicolás. Universidad Nacional de Córdoba. Facultad de Filosofía y Humanidades; Argentina.
Otras Ciencias Biológicas
description Fil: Barberis, Sergio Daniel. Universidad de Buenos Aires; Argentina.
publishDate 2017
dc.date.none.fl_str_mv 2017
dc.type.none.fl_str_mv info:eu-repo/semantics/bookPart
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_3248
info:ar-repo/semantics/parteDeLibro
format bookPart
status_str publishedVersion
dc.identifier.none.fl_str_mv 978-3-319-68420-8
http://hdl.handle.net/11086/551222
identifier_str_mv 978-3-319-68420-8
url http://hdl.handle.net/11086/551222
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositorio Digital Universitario (UNC)
instname:Universidad Nacional de Córdoba
instacron:UNC
reponame_str Repositorio Digital Universitario (UNC)
collection Repositorio Digital Universitario (UNC)
instname_str Universidad Nacional de Córdoba
instacron_str UNC
institution UNC
repository.name.fl_str_mv Repositorio Digital Universitario (UNC) - Universidad Nacional de Córdoba
repository.mail.fl_str_mv oca.unc@gmail.com
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