SOURCE-LINKED INTELLIGENCE
CogGym: Towards Large-Scale Comparative Evaluation of Human and Machine Cognition
Understanding and modeling human intelligence are parallel goals shared by artificial intelligence (AI) and cognitive science. As AI systems grow increasingly capable, in what ways do model responses resemble human responses, and where do they systematically diverge? The sheer breadth and diversity of the tasks humans can perform and think about pose a challenge for scalable and rigorous comparison between humans and models. We introduce CogGym, a scalable, unified framework grounded in cognitive science for systematically comparing model and human behavior on matched experimental trials. CogG
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-18T03:18:04.000Z
First collected: 2026-09-23T14:01:59.594Z. This is not the publication date.