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Theories for Computing Prosocial Behavior.
Costantini, Arianna; Scalco, Andrea; Sartori, Riccardo; Tur, Elena M; Ceschi, Andrea.
Afiliação
  • Costantini A; University of Verona, Italy.
  • Scalco A; University of Aberdeen, UK.
  • Sartori R; University of Verona, Italy.
  • Tur EM; Eindhoven University of Technology, Netherlands, and University of Gothenburg, Sweden.
  • Ceschi A; University of Verona, Italy.
Nonlinear Dynamics Psychol Life Sci ; 23(2): 297-313, 2019 Apr.
Article em En | MEDLINE | ID: mdl-30898196
ABSTRACT
Most relevant theories of prosocial behavior aim at exploring and understanding helping motivations from an evolutionary perspective. This article summarizes findings from research on prosocial behavior from both a socio-economic and psychological perspective. Building on literature exploring the basic processes and determinant variables of helping, we propose a stochastic and dynamic model to simulate prosocial behaviors over time and recreate evolutionary processes of helping behaviors. Such a mathematical model formalizes a procedure for dynamic simulations, including agent-based modeling, which implies non-linear dynamics of prosocial processes underlying helping motivations. Practical implications for organizations and societies are addressed.
Assuntos
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Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Comportamento Social / Comportamento de Ajuda / Motivação Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article
Buscar no Google
Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Comportamento Social / Comportamento de Ajuda / Motivação Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article