Generative 3D form-finding using Cellular Automata and Python in Grasshopper.
In this project, I built a computational model to translate Conway's "Game of Life" algorithm into a 3D spatial context. The dynamic, complex topology seen in the video is the visual output of the algorithm's evolution through stacking consecutive generations. 💡
M.S.mp4
First, I wrote a script using the Python 3 (Py3) component in Grasshopper. This code applies the rules of the "Game of Life" to a grid, generating a complex pattern of solid blocks (active cells) and voids (dead cells) for each generation.
Here are the controllable parameters for this logic:
- Inputs: Number of rows, Number of columns, Gen0 active cells, and Number of floors.
- Outputs: 3D Generative Form
Ultimately, each generated layer is stacked vertically. 🏢 By changing the Gen0 active cells (initial state) and tweaking the grid dimensions, completely different and unique structural forms take shape.
- Rhinoceros 3D / Grasshopper
- Python 3 / Py3 Component (for coding the cellular automata rules and grid generation)