一个基于系统动态的模型,用于环境组事件的演变
1People's Public Security University of China, Beijing, China.
Scientific reports
|April 27, 2024
概括
这项研究使用系统动态和进化游戏理论来模拟环境大规模事件. 动态惩罚策略稳定了大规模事件的演变,为环境问题解决提供了洞察力.
科学领域:
- 环境科学 环境科学
- 系统理论 系统理论
- 游戏理论 游戏理论
背景情况:
- 环境问题可以引发大规模事件.
- 了解这些事件的演变对于缓解至关重要.
研究的目的:
- 开发一个环境大规模事件演化模型.
- 探索源自环境问题的大规模事件的进化规律.
- 为了确定系统稳定的条件.
主要方法:
- 系统动力学理论用于建模.
- 混合策略进化游戏原理.混合策略进化游戏原则.
- 动态的惩罚措施.动态的惩罚措施.
- 使用Anylogic软件进行模拟分析.
主要成果:
- 传统的不对称混合策略游戏模型缺乏稳定的进化平衡.
- 调整游戏回报矩阵,并结合动态惩罚策略,导致稳定的进化平衡.
- 在这些调整条件下,系统表现出趋向于稳定.
结论:
- 动态惩罚策略是稳定环境大规模事件演变的关键.
- 该研究为分析环境大规模事件演变提供了方法论和理论支持.
- 调查结果为管理和预防环境危机提供了实际见解.
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