RituPande/hnca
Code for 'Hierarchical Neural Cellular Automata' (Alife 2023)
This project offers a way to explore how patterns can transform and evolve, mimicking biological processes like cell differentiation and metamorphosis. By inputting an initial visual pattern and model weights, you can observe dynamic changes where child patterns gradually align with a parent pattern, or completely transform into a new morphology. This is useful for researchers in artificial life, evolutionary computation, or those studying self-organizing systems.
No commits in the last 6 months.
Use this if you are a researcher or student interested in simulating complex adaptive systems or the emergent behavior of hierarchical cellular automata.
Not ideal if you are looking for a tool to solve real-world engineering or design problems directly.
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Jupyter Notebook
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Last pushed
May 14, 2023
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