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Robotic Art Installations Use Embodied Machine Learning and Digital Evolution
A research paper describes three robotic art installations that explore adaptive behavior as an aesthetic theme. The works combine embodied machine learning with digital evolution to create an artificial ecosystem where open-ended novelty emerges through trial and error. Viewers are drawn into observing how the robots change and evolve over time.