Pubblicazioni

Theories for Computing Prosocial Behavior  (2019)

Autori:
Costantini, Arianna; Scalco, Andrea; Sartori, Riccardo; Mas Tur, Elena; Ceschi, Andrea
Titolo:
Theories for Computing Prosocial Behavior
Anno:
2019
Tipologia prodotto:
Articolo in Rivista
Tipologia ANVUR:
Articolo su rivista
Lingua:
Inglese
Referee:
No
Nome rivista:
NONLINEAR DYNAMICS, PSYCHOLOGY AND LIFE SCIENCES
ISSN Rivista:
1090-0578
N° Volume:
23
Numero o Fascicolo:
2
Intervallo pagine:
297-313
Parole chiave:
Prosocial behavior, Reciprocity, Altruism, Behavioral evolution, Agent-based models
Breve descrizione dei contenuti:
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.
Id prodotto:
108029
Handle IRIS:
11562/993769
ultima modifica:
4 dicembre 2019
Citazione bibliografica:
Costantini, Arianna; Scalco, Andrea; Sartori, Riccardo; Mas Tur, Elena; Ceschi, Andrea, Theories for Computing Prosocial Behavior «NONLINEAR DYNAMICS, PSYCHOLOGY AND LIFE SCIENCES» , vol. 23 , n. 22019pp. 297-313

Consulta la scheda completa presente nel repository istituzionale della Ricerca di Ateneo IRIS

Progetti Collegati
Titolo Dipartimento Responsabili
Social simulations and prosocial behavior Dipartimento Scienze Umane Andrea Ceschi
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