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Course Outline
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
Requirements
- Python programming experience
- Javascript (optional)
Audience
- Researchers
- Investigators
- Analysts
14 Hours
Testimonials (3)
The flexiblity in the training.
Hans - Spanninga Metaal B.V.
Course - PCB Circuit Design with Altium
Great knowledge of subject- Good pace One on one was vey beneficial - learned more this way- Thanks for arranging-
Damien - Calor
Course - AutoCAD: Beginner to Advanced
The trainer well prepared the course material beforehand and the session was very flexible and arranged to meet the trainee's interests. The management staffs were also around during the course to help us. The project was well managed in a friendly atmosphere throughout.
