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.

Theories for computing prosocial behavior / Costantini, A.; Scalco, A.; Sartori, R.; Tur, E. M.; Ceschi, A.. - In: NONLINEAR DYNAMICS, PSYCHOLOGY AND LIFE SCIENCES. - ISSN 1090-0578. - 23:2(2019), pp. 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
2
Costantini, A.; Scalco, A.; Sartori, R.; Tur, E. M.; Ceschi, A.
Theories for computing prosocial behavior / Costantini, A.; Scalco, A.; Sartori, R.; Tur, E. M.; Ceschi, A.. - In: NONLINEAR DYNAMICS, PSYCHOLOGY AND LIFE SCIENCES. - ISSN 1090-0578. - 23:2(2019), pp. 297-313.
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/11572/339770
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? 3
social impact