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This thesis explores the potential of generative AI to recreate biological spatial systems, using termite mound structures as inspiration. Termite mounds, known for their unique internal networks and passive climate regulation, feature complex spatial logics that challenge traditional modeling techniques. This project investigates whether diffusion-based generative models can be trained to mimic s
