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Cognitive scientist Marina Dubova at the Santa Fe Institute argues that Occam's razor and theory-guided experiments can obstruct scientific progress. Computational models show that AI agents preferring complexity sometimes predict new data as well as or better than simplicity-preferring agents. Exploratory strategies like random or novel experiments outperformed theory-driven approaches in developing accurate theories.
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