Article

Compositional clustering in task structure learning

2017-10-02

Abstract excerpt

Humans are remarkably adept at generalizing knowledge between experiences in a way that can be difficult for computers. Often, this entails generalizing constituent pieces of experiences that do not fully overlap, but nonetheless share useful similarities with, previously acquired knowledge. However, it is often unclear how knowledge gained in one context should generalize to another. Previous computational models...

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Identifiers and source

Literature Corpus work: 381bf907-27a2-5e1f-adfe-0955e49326f1
DOI: 10.1101/196923

Open publication

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