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A dynamical systems approach to triadic reciprocal determinism of social cognitive theory

机译:社会认知理论的三元对立决定论的动力学系统方法

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摘要

A deterministic dynamical systems approach is proposed to model the interplay among an individual's behavior, personal factors, and environmental challenges, in the framework of triadic reciprocal determinism in social cognitive theory. The equilibria of the system are numerically identified, and their stability analyzed, for seven scenarios corresponding to specific choices of the system parameters. An interpretation of the system dynamics in the neighborhood of the observed equilibria from the point of view of social cognitive theory is proposed. This approach may be beneficial in understanding human adaptation to environmental challenges such as traumatic events and significant daily stressors. Results provide the mathematical groundwork for future research that will involve numerical simulations for tuning the model parameters so as to best fit the experimental data available. (C) 2018 International Association for Mathematics and Computers in Simulation (IMACS). Published by Elsevier B.Y. All rights reserved.
机译:提出了一种确定性动力学系统方法,以在社会认知理论中的三元对立确定性框架内对个人行为,个人因素和环境挑战之间的相互作用进行建模。针对与系统参数的特定选择相对应的七个方案,通过数字识别了系统的平衡,并对其稳定性进行了分析。提出了从社会认知理论的角度对观察到的平衡附近的系统动力学的解释。这种方法可能有助于了解人类对环境挑战(如创伤事件和重要的日常压力源)的适应性。结果为将来的研究提供了数学基础,其中将涉及数值模拟以调整模型参数,从而最适合可用的实验数据。 (C)2018国际模拟数学与计算机协会(IMACS)。由Elsevier B.Y.发布版权所有。

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