Hypothesis-guided discovery of cognitive algorithms via program refinement

Lectura rápida

arXiv:2610.02523v1 Announce Type: new Abstract: 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 scalability. Emerging techniques using la

Tramo Uno resume esta señal para que entiendas qué ocurrió antes de decidir si quieres revisar la cobertura completa en la fuente original.