NeurosciencebioRxivPreprint
How we learn things we don’t know already: A theory of learning structured representations from experience
Leonidas A. A. Doumas, Guillermo Puebla, Andrea E. Martin
The paper proposes a theory and computational framework for learning structured relational representations from unstructured inputs, demonstrating how such representations can be acquired from experience.
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