- Authors:
-
Costantini, Arianna; Scalco, Andrea; Sartori, Riccardo; Mas Tur, Elena; Ceschi, Andrea
- Title:
-
Theories for Computing Prosocial Behavior
- Year:
-
2019
- Type of item:
-
Articolo in Rivista
- Tipologia ANVUR:
- Articolo su rivista
- Language:
-
Inglese
- Referee:
-
No
- Name of journal:
- NONLINEAR DYNAMICS, PSYCHOLOGY AND LIFE SCIENCES
- ISSN of journal:
- 1090-0578
- N° Volume:
-
23
- Number or Folder:
-
2
- Page numbers:
-
297-313
- Keyword:
-
Prosocial behavior, Reciprocity, Altruism, Behavioral evolution, Agent-based models
- Short description of contents:
- 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.
- Product ID:
-
108029
- Handle IRIS:
-
11562/993769
- Last Modified:
-
December 4, 2019
- Bibliographic citation:
-
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.
2
,
2019
,
pp. 297-313
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