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This study explores the integration of finite-state machines, known as cellular automata (CA), with the process of weaving to create adaptive architectural environments. By focusing on local interactions within CA and using them as a generator, this research examines how the interactions between environmental factors and CA patterns translate into architectural designs through weaving. The bottom-up approach allows for reprogrammable structures responsive to environmental variables, emphasizing soft materials known for complex mechanical behavior suitable for various applications like soft robotics. Weaving, traditionally involving the interlacing of warp and weft threads, is utilized as a CA translator to build intricate three-dimensional structures. The study simulates spatial complexity in discrete environments and provides a framework for creating adaptable structures. This innovative method presents opportunities for flexible and environmentally responsible architectural solutions.
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González et al. (2024) studied this question.
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