Cellular Evolution Simulator

Explore how multicellular organisms evolve through mutation, competition, predation and changing sunlight.

Cellular Evolution Simulator
15/sec
40%
1.4%
2%
1000t

Top 5 Species

Total Cell Distribution

Statistics

Tick:
0
Population:
0
Total Energy:
0
Distinct Species:
0
Total Births:
0
Total Deaths:
0
Predations:
0

Population History

Species Over Time

Cell Distribution

Organism #123

1 of this species

Status

Energy:
0
Age:
0 ticks
Size:
0 cells
Facing:
North
Speed:
0%

Composition

Neural Network

Model and methodology

This is an artificial-life model: its cell types, energy costs and mutation rules are designed abstractions, not measured biological parameters. A run illustrates outcomes under these assumptions; it does not predict real ecosystems. Random runs can diverge. Source code and model rules.

Organisms and cell types

Multi-cellular organisms act and reproduce in a 224x224 grid world (50,176 cells of space). Each organism is composed of different cell types with unique functions:

Muscle: Movement
Photo: Photosynthesis
Teeth: Eating living tissue and decay
Shield: Protection
Nose: Smells nearby organisms
Eye: Detects cell types ahead and emitter signals
Emitter: Broadcasts a signal from 0 to 1
Decay: Dead cells

Energy Economy

Sunlight Modes

Sunlight changes the geography of photosynthesis. Static plant-like bodies thrive in different places depending on how much of the world is brightly lit and how often those lit zones shift.

Features

Patterns in a run

Populations may remain fairly steady for a time, then change sharply as organisms spread or die out. Compare runs to see whether similar body plans appear, or whether early mutations lead to lasting differences.

Try changing the sunlight pattern. Do organisms gather in the bright patches? Do mobile predators spread after their prey become abundant? Select an organism to inspect its cells and neural network. Eyes, noses and emitters may become useful in some conditions and remain rare in others.

These are possibilities to investigate, not outcomes guaranteed by the model. A rise in population alone does not establish greater diversity, and similar-looking bodies may behave differently.