Abstract
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.
Original language | English |
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Pages (from-to) | 297-313 |
Number of pages | 17 |
Journal | Nonlinear dynamics, psychology, and life sciences |
Volume | 23 |
Issue number | 2 |
Publication status | Published - 30 Apr 2019 |
Keywords
- Agent-based models
- Altruism
- Behavioral evolution
- Prosocial behavior
- Reciprocity