{"id":18936927,"url":"https://github.com/qc20/digitalorganism","last_synced_at":"2026-03-02T17:04:42.381Z","repository":{"id":249890801,"uuid":"832863241","full_name":"QC20/DigitalOrganism","owner":"QC20","description":"DigitalOrganism is an interactive, visually captivating cellular automaton simulation that explores the fascinating world of emergent patterns and complexity. 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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.\n\n## Features\n\n- Real-time cellular automaton simulation\n- Interactive mouse-driven input\n- Multiple rulesets for diverse pattern generation\n- Customizable parameters for experimentation\n\n## How It Works\n\nDigitalOrganism uses a grid of cells that evolve based on the states of their neighbors. The simulation considers two neighborhoods for each cell:\n\n1. A closer neighborhood (hood0)\n2. A more extended neighborhood (hood1)\n\nThe 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.\n\n## Customization\n\nThe 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:\n\n1. **Rulesets**: Adjust the `conditions` object in `sketch.js` to create new cellular automaton rules.\n2. **Grid Size**: Modify the `GRID_SIZE` constant to change the resolution of the simulation.\n3. **Brush Behavior**: Alter the `handleMouseInput()` function to change how user input affects the cells.\n4. **Color Schemes**: Update the cell rendering in `updateCells()` to experiment with different color patterns.\n5. **Neighborhoods**: Modify `calculateHood0()` and `calculateHood1()` to explore different neighborhood configurations.\n\n## Inspiration and Further Exploration\n\nThis project draws inspiration from the work of Slackermanz on Multiple Neighborhood Cellular Automata. To dive deeper into the subject, consider exploring:\n\n- Cellular automaton theory\n- Complexity science\n- Generative art techniques\n- Computational aesthetics\n\nBy 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.\n\n## Get Started\n\nOpen `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.\n\nHappy exploring! :-)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fqc20%2Fdigitalorganism","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fqc20%2Fdigitalorganism","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fqc20%2Fdigitalorganism/lists"}