https://github.com/qc20/digitalorganism

https://github.com/qc20/digitalorganism

Last synced: 6 days ago
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• Host: GitHub
• URL: https://github.com/qc20/digitalorganism
• Owner: QC20
• License: mit
• Created: 2024-07-23T21:58:03.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2024-07-24T20:30:43.000Z (4 months ago)
• Last Synced: 2024-07-25T01:53:09.714Z (4 months ago)
• Language: JavaScript
• Homepage: https://qc20.github.io/DigitalOrganism/
• Size: 577 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# DigitalOrganism

DigitalOrganism is an interactive, visually captivating cellular automaton simulation that explores the fascinating world of emergent patterns and complexity. This project, inspired by Multiple Neighborhood Cellular Automata (MNCA), offers a unique playground for designers, researchers, and enthusiasts in the fields of generative art, computational design, and complex systems.

## Features

- Real-time cellular automaton simulation

- Interactive mouse-driven input

- Multiple rulesets for diverse pattern generation

- Customizable parameters for experimentation

## How It Works

DigitalOrganism uses a grid of cells that evolve based on the states of their neighbors. The simulation considers two neighborhoods for each cell:

1. A closer neighborhood (hood0)

2. A more extended neighborhood (hood1)

The evolution rules are defined by the `conditions` object, which determines the next state of each cell based on its current state and the states of its neighbors.

## Customization

The code is designed to be easily customizable, allowing you to experiment with different rulesets, visual styles, and interactions. Here are some ways you can modify the project:

1. **Rulesets**: Adjust the `conditions` object in `sketch.js` to create new cellular automaton rules.

2. **Grid Size**: Modify the `GRID_SIZE` constant to change the resolution of the simulation.

3. **Brush Behavior**: Alter the `handleMouseInput()` function to change how user input affects the cells.

4. **Color Schemes**: Update the cell rendering in `updateCells()` to experiment with different color patterns.

5. **Neighborhoods**: Modify `calculateHood0()` and `calculateHood1()` to explore different neighborhood configurations.

## Inspiration and Further Exploration

This project draws inspiration from the work of Slackermanz on Multiple Neighborhood Cellular Automata. To dive deeper into the subject, consider exploring:

- Cellular automaton theory

- Complexity science

- Generative art techniques

- Computational aesthetics

By experimenting with DigitalOrganism, you can gain insights into how simple rules can lead to complex, emergent behaviors—a fundamental concept in both design and natural systems.

## Get Started

Open `index.html` in a modern web browser to run the simulation. Click and drag on the canvas to interact with the cells and observe how patterns evolve over time.

Happy exploring!