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Updated: Feb 15, 2026

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Evidence from machines that learn and think like people
Kenneth D Forbus1, Dedre Gentner2
1Department of Computer Science,Northwestern University,Evanston,IL 60208.forbus@northwestern.eduhttp://www.cs.northwestern.edu/~forbus/.
Abstract:
We agree with Lake et al.'s trenchant analysis of deep learning systems, including that they are highly brittle and that they need vastly more examples than do people. We also agree that human cognition relies heavily on structured relational representations. However, we differ in our analysis of human cognitive processing. We argue that (1) analogical comparison processes are central to human cognition; and (2) intuitive physical knowledge is captured by qualitative representations, rather than quantitative simulations.
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