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.

Costantini, A., Scalco, A., Sartori, R., Tur, E.m., Ceschi, A. (2019). Theories for computing prosocial behavior. NONLINEAR DYNAMICS, PSYCHOLOGY, AND LIFE SCIENCES, 23(2), 297-313.

Theories for computing prosocial behavior

Costantini, A.;
2019-01-01

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.
2019
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore M-PSI/06 - Psicologia del Lavoro e delle Organizzazioni
English
Costantini, A., Scalco, A., Sartori, R., Tur, E.m., Ceschi, A. (2019). Theories for computing prosocial behavior. NONLINEAR DYNAMICS, PSYCHOLOGY, AND LIFE SCIENCES, 23(2), 297-313.
Costantini, A; Scalco, A; Sartori, R; Tur, Em; Ceschi, A
Articolo su rivista
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/361107
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? ND
social impact