May 15, 2023, 12:43 a.m. | Arseny Moskvichev, Victor Vikram Odouard, Melanie Mitchell

cs.LG updates on arXiv.org arxiv.org

The abilities to form and abstract concepts is key to human intelligence, but
such abilities remain lacking in state-of-the-art AI systems. There has been
substantial research on conceptual abstraction in AI, particularly using
idealized domains such as Raven's Progressive Matrices and Bongard problems,
but even when AI systems succeed on such problems, the systems are rarely
evaluated in depth to see if they have actually grasped the concepts they are
meant to capture.


In this paper we describe an in-depth …

abstract abstraction ai systems arc art arxiv benchmark human human intelligence intelligence research state systems understanding

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