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Stevan Harnad: AI's Symbol Grounding Problem

The Gradient: Perspectives on AI

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Categorical Perception in Machine Learning Models and Humans

This chapter explores the phenomenon of categorical perception in both machine learning models and humans, discussing how both initially struggle to distinguish categories but improve with training. They also discuss the similarities between machine learning models and humans in this process and touch on the concept of ungrounded systems and the warping of perceptual space.

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