Koza refers to a method of evolving neural controllers for robots, specifically within the context of Genetic Programming (GP). This approach allows for the automatic creation and optimization of robotic behaviors, enabling machines to adapt to their environments through simulated evolution. Koza's techniques are instrumental in developing autonomous robots that can learn and improve their functionality over time.
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