Agent Based Modeling (ABM) with Mesa and Python ( mesa | 14 hours )
- Python 程式设计经验
- Javascript （可选）
观众
- 研究者
- 调查
- 分析师
Mesa 是一个 Python 用于创建基于代理的模型 （ABM） 的框架。Mesa 旨在提供 NetLogo、Repast 和 MASON 的替代方案。基于智慧体的建模允许生物学、社会科学、网路、商业等领域的研究人员类比自主智慧体的行动和交互，以评估它们对环境的影响。
这种讲师指导的现场培训（在线或现场）面向希望使用Mesa在 Python 环境中创建基于代理的模型的研究人员。
在本次培训结束时，参与者将能够：
- 安装并配置在 Python 中开始建模所需的开发环境。
- 使用 Mesa 的内建核心元件快速创建基于代理的模型。
- 扩展模型的复杂度。
- 在浏览器中即时可视化代理活动。
- 使用 Python 资料分析工具以交互方式分析模型的结果。
- 将模型与其他 Python 系统（如机器学习应用程式）集成。
课程形式
- 互动讲座和讨论。
- 大量的练习和练习。
- 在即时实验室环境中动手实施。
课程自定义选项
- 要申请本课程的定制培训，请联系我们进行安排。
介绍
概览 Agent Based Modeling
案例研究：使用代理类比财务交易
Agent Based Modeling Java、C++、Python 等框架概述
Mesa 核心功能概述
设置环境
在文本编辑器或 IDE 与 Jupyter Notebook 之间进行选择
创建简单模型
案例研究：使用代理类比大流行
根据 Use Case 选择模型（玻尔兹曼财富、谢林分离模型、SIR 等）
使用 Mesa 的 Model 和 Agent 类
定义变数
设置模型级别参数
计划代理的操作
运行模型
向模型添加代理
向模型添加空间
使用 Data Collector 收集数据
使用 Mesa Batch Runner 运行 Model Multiple
以交互方式可视化模拟
在网格中可视化代理活动
向可视化添加图表
建立视觉化模组 （选择 - 需要 Javascript）
将模型与 Machine Learning 应用程式集成。
最佳实践
故障排除
总结和结论
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