Topic · Artificial Intelligence · Computer Science
OpenAlex topic; a paper is listed when OpenAlex scores it at least 0.5 for this topic.
2 papers
Mattia Eluchans, Gian Luca Lancia, Antonella Maselli, Marco D’Alessandro, Jeremy Raboff Gordon, Giovanni Pezzulo
The paper investigates how humans adaptively use cognitive resources in problem-solving tasks requiring different planning depths, finding they select minimum required depths rather than fixed depths.
Royal Society Open Science · Apr 1, 2025Peer-reviewedNeuroscience
Momchil S. Tomov, Samyukta Yagati, Agni Kumar, Wanqian Yang, Samuel Joseph Gershman
This paper introduces a Bayesian model of hierarchy discovery that explains how humans organize environments into hierarchical structures for planning, supported by simulations and behavioral experiments.
PLoS Computational Biology · Apr 6, 2020Peer-reviewedNeuroscience