Article

Humans can navigate complex graph structures acquired during latent learning

2019-08-02

Abstract excerpt

Humans appear to represent many forms of knowledge in associative networks whose nodes are multiply connected, including sensory, spatial, and semantic. Recent work has shown that explicitly augmenting artificial agents with such graph-structured representations endows them with more human-like capabilities of compositionality and transfer learning. An open question is how humans acquire these representations. Pr...

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Identifiers and source

Literature Corpus work: 03382d86-5777-5542-a1b7-9b39cae5313a
DOI: 10.1101/723072

Open publication

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