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A new arXiv paper investigates how AI models could more efficiently compress problem-solving strategies, potentially offering a path toward more stable predictive assistance.

A new Frontiers in Cognition paper explores using quantum picturalism to replace symbolic algebra in cognitive modeling, shifting from rigid logic to compositional, diagrammatic visual structures.

A study on cognitive entrenchment reveals that deep professional expertise can inadvertently limit an individual's ability to adapt to new, unconventional business challenges.

Ever wonder why you say 'big red dog' but never 'red big dog'? Mark Liberman explores the subconscious rules defining English adjective order and why they feel so natural to native speakers.

CAS researchers have unveiled a neural network designed to mimic human concept formation, shifting the focus from pattern matching to cognitive abstraction in machine learning.

New analysis indicates that LLMs fail the classic mirror self-recognition test, highlighting a key gap between pattern matching and true self-awareness in artificial intelligence.