Back to results
Bibliographic record · Consultation and access
Libro

A Pluralist Framework for the Philosophy of Social Neuroscience

Barberis, Sergio Daniel et al · Springer · 2017

Open-access full text
Quick overview. Review the resource’s basic details, then access the content using the main button. This page shows only the information needed to identify, cite, and open the work.

Resource access

Open the content from the main option or choose another available source.

CONICET Digital CONICET Digital OAI-PMH
Entrar por CONICET Digital
Main access

Open-access full text

Texto completo identificado como acceso abierto.
Open text

Summary

Descripción general del contenido del recurso.

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. Fil: Barberis, Sergio Daniel. Sociedad Arg.de Analisis Filosofico. Sociedad Arg.de Analisis Filosofico; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Branca, Mariana Itatí. Universidad Nacional de Córdoba. Facultad de Filosofía y Humanidades. Centro de Investigaciones María Saleme Burnichón; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba; Argentina

How to cite

Elegí el formato que necesitás y copiá la referencia al portapapeles.

APA 7

Barberis, S. D. E. A. (2017). A Pluralist Framework for the Philosophy of Social Neuroscience. Springer. http://hdl.handle.net/11336/273573

MLA

Barberis, Sergio Daniel et al. A Pluralist Framework for the Philosophy of Social Neuroscience. Springer, 2017. http://hdl.handle.net/11336/273573.

Chicago

Barberis, Sergio Daniel et al. 2017. A Pluralist Framework for the Philosophy of Social Neuroscience. Springer. http://hdl.handle.net/11336/273573.

Harvard

Barberis, S. D. E. A. 2017, A Pluralist Framework for the Philosophy of Social Neuroscience, Springer, available at: http://hdl.handle.net/11336/273573 [Accessed 5 Aug. 2026].

Share and print

Save the record, copy its permanent link, or print it as a PDF.

Export reference

You can export the record in common formats for use in a reference manager.

Resource details

Bibliographic information to help confirm that this is the correct material.

Title
A Pluralist Framework for the Philosophy of Social Neuroscience
Author / contributors
Barberis, Sergio Daniel et al
Publisher
Springer
Publication year
2017
Language
English

Subjects

Explore related resources through these subjects.

Copied