ABS based on The Three Stage Stress Model

Research Proposal Agent-Based Simulation Based on the Three-Stage Stress Model Introduction This study aims to propose a new model that captures stress responses in three stages, based on Hans Selye’s General Adaptation Syndrome (GAS) and Lazarus’s cognitive appraisal model. Traditional models tend to focus either on physiological or psychological aspects. In contrast, this research integrates both perspectives and further employs mathematical modeling to analyze the dynamics of stress propagation. Research Objectives 1. Reconstruct the theoretical framework of the three-stage stress model. 2. Perform time-series analysis of stress indicators using Bayesian Structural Time Series (BSTS). 3. Model stress propagation within social networks through Agent-Based Simulation (ABM). Methodology This study will collect psychological assessment indicators and physiological data, and conduct causal inference using BSTS. Additionally, an ABM will be developed to simulate stress propagation patterns across different network structures. This approach aims to provide a comprehensive understanding of stress dynamics at both individual and group levels. Expected Outcomes The research will redefine the three-stage stress model in a modern context and offer new guidelines for stress management in workplaces and educational settings. Furthermore, predictive methods based on mathematical models can be applied to evaluate the effectiveness of mental health interventions. References • Selye, H. (1956). The Stress of Life . McGraw-Hill. • Lazarus, R. S., & Folkman, S. (1984). Stress, Appraisal, and Coping . Springer. • Cannon, W. B. (1932). The Wisdom of the Body . W.W. Norton & Company. • Google. (2015). CausalImpact: An R Package for Causal Inference in Time Series . Journal of Statistical Software. • Epstein, J. M. (2006). Generative Social Science: Studies in Agent-Based Computational Modeling . Princeton University Press.