Publications

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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