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Cellular Automata Cave Generation

Creates cave-like maps by smoothing random grids with neighbor rules.

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Quick Facts

Compact metadata for implementation and discovery.

Category: Procedural Generation
Difficulty: Beginner
Family: Grid Generation
Tier: Extended
Status: Verified
Review: Source Checked
Sources: 1
Formulas: 0
Relationships: 4
Code example: Not ready
Visualization: Ready

Overview

Cellular Automata Cave Generation starts from random solid and empty cells, then repeatedly applies local rules to form connected cave regions.

Core Concepts

generated structurecell state ruleroom layoutgrid generationseeded variationrule expansionspatial structure

Quick facts

Complexity

Runtime and memory behavior at a glance.

Best

O(n)

Average

O(t n)

Worst

O(t n)

Space

O(n)

When to Use

Use Cellular Automata Cave Generation when you need to randomly initialize a grid.
Use it for cave maps with inputs like grid size.
Use it when repeatable content can be produced from compact rules, parameters, and seeds.
Use it when the Grid Generation tradeoff is acceptable for the problem size.

When Not to Use

Avoid it when authored control matters more than variation or replayability.
Avoid it when the required output is not generated cave grid.

What It Does

Randomly initializes a grid
Smooths cells based on neighbor counts

Use Cases

Cave maps
Roguelike levels
Organic region generation

Inputs

Grid size
Initial fill probability
Smoothing rules

Outputs

Generated cave grid

Pseudocode

1.Fill a grid randomly with walls and open cells
2.For each smoothing pass, count neighboring walls
3.Turn cells into walls or open space by the rule
4.Optionally remove small isolated regions
5.Return the cave map

Canonical Example

Input: seed = 42, size = 8x8
Output: generated map, pattern, or noise field
Explanation: Cellular Automata Cave Generation: The algorithm expands a small set of rules and random choices into structured content.

Implementation Notes

Keep the input contract explicit: Grid size; Initial fill probability; Smoothing rules.
Use this step as the implementation spine: Fill a grid randomly with walls and open cells.
Then preserve the next state change: For each smoothing pass, count neighboring walls.
Expose seed and parameters so results can be reproduced and tuned.

Common Pitfalls

Connectivity cleanup is often needed after smoothing.
Letting random choices create disconnected, invalid, or impossible-to-use output.
Returning generated cave grid without handling empty, invalid, or boundary inputs.

Interactive Mechanism Walkthrough

Spatial Primitive & Sweep-Line Canvas

Show random noise smoothing into cave-like regions.

Step 1 of 5: Fill a grid randomly with walls and open cells

cave-smoothing

Notes

Cellular Automata Cave Generation operates in O(t n) time and O(n) space within the Grid Generation family. Often compared with Cellular Automata and Flood Fill.

Sources (1)

What each reference supports for this entry.

Procedural Content Generation in Games

Book

Procedural-generation reference supporting Cellular Automata Cave Generation constraint solving, constructive generation, terrain, dungeon, or stochastic content workflow.

Open source