计算亲社会行为的理论。

IF 0.6 4区 心理学 Q4 PSYCHOLOGY, MATHEMATICAL Nonlinear Dynamics Psychology and Life Sciences Pub Date : 2019-04-01
Arianna Costantini, Andrea Scalco, Riccardo Sartori, Elena M Tur, Andrea Ceschi
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引用次数: 0

摘要

大多数相关的亲社会行为理论旨在从进化的角度探索和理解帮助动机。本文从社会经济和心理学两个角度综述了亲社会行为的研究成果。在探索助人基本过程和决定变量的文献基础上,我们提出了一个随机动态模型来模拟助人行为随时间的变化,并重建助人行为的进化过程。这样的数学模型形式化了动态模拟的过程,包括基于主体的建模,这意味着帮助动机背后的亲社会过程的非线性动力学。讨论了对组织和社会的实际影响。
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Theories for Computing Prosocial Behavior.

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.

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来源期刊
CiteScore
1.40
自引率
11.10%
发文量
26
期刊最新文献
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