Agent Based Modeling and Simulation

2024 Edition

Welcome to the course of Agent Based Modeling and Simulation (ABMS) . The course is organized in five parts, the first four covers ABMS including the basics of NetLogo and it’s use in developing well documented models; the review of different model design concepts; the principles of pattern oriented modeling; and the analysis of the resulting models. The fifth part is about Reinforcement Leaning and its use in ABMs. The organization of the course is as follows:

Introduction | abms-syllabus

Agent-Based Modeling and NetLogo Basics

1. Agent Based Modeling and Simulation | 1; 3:1 | abms-slides-01
2. Getting Started with NetLogo | 1; 3:2 | abms-slides-02
3. The ODD Protocol | 1:3 | abms-slides-03
4. Implementing a First Agent Based Model | 1:4 | abms-slides-04
5. From Animation to Science | 1:5 | abms-slides-05
6. Testing your Programs | 1:6 | abms-slides-06

Some Model Design Concepts

1. Emergence | 1:8 | abms-slides-07
2. Stochasticity | 1:15 | abms-slides-08
3. Collectives | 1:16 |abms-slides-09

Pattern-Oriented Modeling

1. Patterns for Model Structure | 1:17-18 | abms-slides-10
2. Patterns for Theory Development | 1:19 | abms-slides-11
3. Patterns for Parameterization and Calibration | 1:20 | abms-slides-12

Model Analysis

1. Analyzing and Understanding ABMs | 1:22 | abms-slides-13

Reinforcement Learning

1. Introduction to Reinforcement Learning | 2:1 | abms-slides-14
2. Finite Markov Decision Processes  | 2:3 | abms-slides-15
3. Temporal-Difference Learning | 2:6 | abms-slides-16

X:Y stands for reference X, chapter Y.

Ligas

1. Guía de estilo en NetLogo | URL

References

1. S. F. Railsback and V. Grimm. Agent-Based and Individual-Based Modeling. Princeton University Press, Princeton, New Jersey, USA, 2019.
2. R. Sutton and A. G. Barto. Reinforcement Learning: An Introduction. MIT Press, Cambridge, MA., USA, 2018.