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Exploratory Responsiveness and Adaptive Rigidity under AI-Assisted Optimization
This paper develops a theory of exploratory adaptation under AI-assisted optimization. The central argument is that the long-run adaptive effects of AI systems depend critically on how predictive assistance interacts with exploratory responsiveness itself. We formalize this mechanism using a dynamic
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