Editing Agent Based Modeling (section)

== <span style="color: #FFFFFF;">Applying</span> ==
'''Modeling 'The Forest Fire' (A Cellular Automaton):'''
<syntaxhighlight lang="python">
import random

def simulate_fire(grid_size, density):
    """
    Agents: Trees. Rule: 'If neighbor is on fire, I catch fire.'
    """
    # Create a grid of trees (1) or empty (0)
    grid = [[1 if random.random() < density else 0 for _ in range(grid_size)] 
            for _ in range(grid_size)]
            
    # Start a fire at the top row
    fire = [(0, i) for i in range(grid_size) if grid[0][i] == 1]
    burnt_count = len(fire)
    
    # Simple 'Spread' logic
    while fire:
        x, y = fire.pop(0)
        grid[x][y] = 2 # Burnt
        # Check 4 neighbors
        for dx, dy in [(0,1), (0,-1), (1,0), (-1,0)]:
            nx, ny = x+dx, y+dy
            if 0 <= nx < grid_size and 0 <= ny < grid_size:
                if grid[nx][ny] == 1:
                    grid[nx][ny] = 2
                    fire.append((nx, ny))
                    burnt_count += 1
                    
    return burnt_count / (grid_size * grid_size)

# Low Density: 40% trees
print(f"Burnt area at 40%: {simulate_fire(20, 0.40) * 100:.1f}%")
# High Density: 70% trees
print(f"Burnt area at 70%: {simulate_fire(20, 0.70) * 100:.1f}%")
# Note: The fire doesn't just grow linearly; it 'explodes' 
# once the density hits a critical point (~59%).
</syntaxhighlight>

; ABM Landmarks
: '''Conway's Game of Life''' → A 0-player game where 4 simple rules create infinite patterns, gliders, and even "computers" made of cells.
: '''Sugarscape''' → A simulation that proved how inequality and wealth gaps emerge naturally even when everyone starts with the same ability.
: '''Epidemiological Models (COVID)''' → Using ABM to simulate every individual in a city to see how "closing schools" vs "wearing masks" affects the hospitals.
: '''Financial Market Simulators''' → Trading bots competing against each other to see how "Flash Crashes" happen.
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