AINeutralarXiv – CS AI · 11h ago6/10
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Meta-learning ecological priors from large language models explains human learning and decision making
Researchers introduce Ecologically Rational Meta-learned Inference (ERMI), a computational framework combining large language models with meta-learning to model human cognition as adaptive optimization to real-world environments. The approach successfully predicts human behavior across 15 experiments in function learning, category learning, and decision-making, suggesting human cognition reflects principled adaptation to ecological statistical structures.