Hypothesis-guided discovery of cognitive algorithms via program refinement

Developing cognitive models of algorithmic reasoning from behavioral data is a central problem in cognitive science that challenges current methods. Traditional approaches to cognitive modeling are interpretable and benefit from human expertise, but lack flexibility and…

Huiwen Alex Yang, Mark K. Ho, Bill D. Thompson·arXiv — cs.AI

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Key Takeaways

01.Developing cognitive models of algorithmic reasoning from behavioral data is a central problem in cognitive science that challenges current methods
02.Traditional approaches to cognitive modeling are interpretable and benefit from human expertise, but lack flexibility and…

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