課程大綱： Agent Based Modeling (ABM) with Mesa and Python培訓
Introduction
Overview of Agent Based Modeling
Case Study: Using Agents to Simulate Financial Transactions
Overview of Agent Based Modeling Frameworks for Java, C++, Python, etc.
Overview of Mesa's Core Features
Setting up the Environment
Choosing between a Text Editor or IDE and Jupyter Notebook
Creating a Simple Model
Case Study: Using Agents to Simulate a Pandemic
Choosing a Model Based on the Use Case (Boltzmann Wealth, Schelling Segregation Model, SIR, etc.)
Working with the Mesa's Model and Agent Classes
Defining the Variables
Setting Model Level Parameters
Scheduling the Actions of an Agent
Running the Model
Adding Agents to the Model
Adding Space to the Model
Collecting Data Using the Data Collector
Running the Model Multiple Using the Mesa Batch Runner
Visualizing the Simulation Interactively
Visualizing Agent Activity in a Grid
Adding a Chart to the Visualization
Creating a Visualization Module (optional - requires Javascript)
Integrating the Model with a Machine Learning Application.
Best Practices
Troubleshooting
Summary and Conclusion
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