Theories for Computing Prosocial Behavior.


Journal

Nonlinear dynamics, psychology, and life sciences
ISSN: 1090-0578
Titre abrégé: Nonlinear Dynamics Psychol Life Sci
Pays: United States
ID NLM: 9704130

Informations de publication

Date de publication:
Apr 2019
Historique:
entrez: 23 3 2019
pubmed: 23 3 2019
medline: 2 7 2019
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 30898196

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

297-313

Auteurs

Arianna Costantini (A)

University of Verona, Italy.

Andrea Scalco (A)

University of Aberdeen, UK.

Riccardo Sartori (R)

University of Verona, Italy.

Elena M Tur (EM)

Eindhoven University of Technology, Netherlands, and University of Gothenburg, Sweden.

Andrea Ceschi (A)

University of Verona, Italy.

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Classifications MeSH