Author: Roberto Aleman, ventics.com , license: GPL v3
This implementation demonstrates a 2D cellular automaton, specifically the "Game of Life," visualized using the HTML5 <canvas>
element and JavaScript. It provides a dynamic, in-browser simulation of this classic computational model.
Example of cellular simulation
Key Features:
- 2D Grid Simulation:
- The core of this version is a 2D grid where each cell can be in one of two states: alive or dead.
- The evolution of these cells follows the rules of the "Game of Life," determining the next state of each cell based on its neighbors.
- Dynamic Canvas Rendering:
- Instead of generating static images, this version uses the
<canvas>
element to draw the cells directly onto the web page. - This allows for a smooth, real-time visualization of the automaton's evolution, without requiring page reloads.
- Instead of generating static images, this version uses the
- JavaScript Implementation:
- The logic of the cellular automaton, including the rules and the rendering, is implemented in JavaScript.
- This makes it compatible with modern web browsers, enabling users to run the simulation directly in their browser.
- Performance Optimization:
- The use of
requestAnimationFrame()
ensures efficient animation, updating the canvas at a rate that is optimized for the browser's refresh rate. - The use of clearRect, only redraws the elements that have changed.
- The use of
- Educational Tool:
- This version serves as an interactive educational tool for understanding cellular automata and the "Game of Life."
- It allows users to observe how simple rules can lead to complex and emergent patterns.
- The
<canvas>
element provides a pixel-based drawing surface, allowing for precise control over the visual representation of the cells. - Javascript is used to manipulate the states of the cells, and to draw the cells into the canvas element.
- The game of life rules, are implemented, in the javascript code.