AINeutralarXiv – CS AI · Feb 274/108
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Exploring Human Behavior During Abstract Rule Inference and Problem Solving with the Cognitive Abstraction and Reasoning Corpus
Researchers introduced CogARC, a human-adapted subset of the Abstraction and Reasoning Corpus, to study how humans solve abstract visual reasoning problems. In experiments with 260 participants solving 75 problems, researchers found high success rates (~80-90%) but significant variation in problem difficulty and solution strategies.