davidkimai/Langtons-Emergence
Recently I have been researching emergent complexities through first principles reductionism of Langton's Ant and related cellular automata in the hopes that they could potentially offer insights into the emergent intricacies of frontier large language models.
This project explores how complex, unpredictable behaviors can arise from very simple rules, using visual simulations of Langton's Ant and similar cellular automata. By inputting basic rules, you can observe dynamic patterns that transition from symmetry to chaos, eventually forming stable 'highway' structures. It's intended for researchers and students in AI or complexity science who are trying to understand emergent phenomena in systems like large language models.
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Use this if you are an AI researcher or a complexity scientist interested in understanding how intelligence and complex patterns emerge from fundamental principles, or if you want to visualize simple rules leading to intricate behaviors.
Not ideal if you are looking for a practical tool to build or analyze existing large language models directly, or if you need a library for general-purpose cellular automata simulations.
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15
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Language
Python
License
MIT
Category
Last pushed
Jul 08, 2025
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