Novelty fitness is a measure used in evolutionary robotics that encourages the exploration of new and diverse behaviors in artificial agents rather than optimizing for predefined objectives. This approach shifts the focus from traditional fitness landscapes to evaluating how unique or different the behaviors are, promoting innovation and diversity in the evolutionary process. By valuing novelty, this concept helps avoid local optima and fosters the development of creative solutions in evolving robotic systems.
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