Agent-Based Modeling

Individual Rules, Emergent Behavior

In this session we explore agent-based models: simple local rules that produce global patterns. We focus on simulation, visualization, and interpretation.

Case Studies

Assignment

What do we need?

`numpy`

Efficient arrays to store agent states and positions.

`matplotlib.pyplot`

Plot agent positions and time evolution.

`matplotlib.animation`

Animate the system over time.

---
title: "Agent-Based Modeling"
subtitle: "Individual Rules, Emergent Behavior"
format: html
---

In this session we explore agent-based models: simple local rules that produce global patterns. We focus on simulation, visualization, and interpretation.

## Case Studies

[Assignment](assignment.qmd){.btn .btn-secondary}

## What do we need?

### `numpy`

Efficient arrays to store agent states and positions.

### `matplotlib.pyplot`

Plot agent positions and time evolution.

### `matplotlib.animation`

Animate the system over time.