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
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.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM