Moral foundations in an interacting neural networks society (2013)
- Authors:
- USP affiliated authors: VICENTE, RENATO - IME ; ALFONSO, NESTOR FELIPE CATICHA - IF
- Unidades: IME; IF
- Subjects: MECÂNICA ESTATÍSTICA; SISTEMA SOCIAL; ANTROPOLOGIA
- Language: Inglês
- Abstract: The moral foundations theory supports that people, across cultures, tend to consider a small number of dimensions when classifying issues on a moral basis. The data also show that the statistics of weights attributed to each moral dimension is related to self-declared political a liation, which in turn has been connected to cognitive learning styles by recent literature in neuroscience and psychology. Inspired by these data, we propose a simple statistical mechanics model with interacting neural networks classifying vectors and learning from members of their social neighborhood about their average opinion on a large set of issues. The purpose of learning is to reduce dissension among agents even when disagreeing. We consider a family of learning algorithms parametrized by , that represents the importance given to corroborating (same sign) opinions. We de ne an order parameter that quanti es the diversity of opinions in a group with homogeneous learning style. Using Monte Carlo simulations and a mean eld approximation we nd the relation between the order parameter and the learning parameter at a temperature we associate with the importance of social in uence in a given group. In concordance with data, groups that rely more strongly on corroborating evidence sustains less opinion diversity. We discuss predictions of the model and propose possible experimental tests.
- Imprenta:
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ABNT
VICENTE, Renato et al. Moral foundations in an interacting neural networks society. . São Paulo: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: http://lanl.arxiv.org/pdf/1307.3203v1.pdf. Acesso em: 28 mar. 2024. , 2013 -
APA
Vicente, R., Susemihl, A., Jericó, J. P., & Caticha, N. (2013). Moral foundations in an interacting neural networks society. São Paulo: Instituto de Matemática e Estatística, Universidade de São Paulo. Recuperado de http://lanl.arxiv.org/pdf/1307.3203v1.pdf -
NLM
Vicente R, Susemihl A, Jericó JP, Caticha N. Moral foundations in an interacting neural networks society [Internet]. 2013 ;[citado 2024 mar. 28 ] Available from: http://lanl.arxiv.org/pdf/1307.3203v1.pdf -
Vancouver
Vicente R, Susemihl A, Jericó JP, Caticha N. Moral foundations in an interacting neural networks society [Internet]. 2013 ;[citado 2024 mar. 28 ] Available from: http://lanl.arxiv.org/pdf/1307.3203v1.pdf - Underlying dynamics of typical fluctuations of an emerging market price index: the Heston model from minutes to months
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