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Showing 1–19 of 19 results
Advanced filters: Author: Joshua Tenenbaum Clear advanced filters

  • Conventional benchmarks are becoming less effective at assessing AI performance, but a multi-disciplinary test has set AI systems a fresh challenge.

    • Katherine M. Collins
    • Joshua B. Tenenbaum
    News & Views
    Nature
    Volume: 649, P: 1115-1116

  • How do humans learn complex rules from small available data? Rule et al introduce metaprogram learning as a model that fits human behaviour in complex learning situations. Unlike previous approaches, this model is based on programs revising programs, making it more efficient.

    • Joshua S. Rule
    • Steven T. Piantadosi
    • Joshua B. Tenenbaum
    ResearchOpen Access
    Nature Communications
    Volume: 15, P: 1-16

  • Humans can infer rules for building words in a new language from a handful of examples, and linguists also can infer language patterns across related languages. Here, the authors provide an algorithm which models these grammatical abilities by synthesizing human-understandable programs for building words.

    • Kevin Ellis
    • Adam Albright
    • Timothy J. O’Donnell
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-13

  • This overview of the ENCODE project outlines the data accumulated so far, revealing that 80% of the human genome now has at least one biochemical function assigned to it; the newly identified functional elements should aid the interpretation of results of genome-wide association studies, as many correspond to sites of association with human disease.

    • Ian Dunham
    • Anshul Kundaje
    • Ewan Birney
    ResearchOpen Access
    Nature
    Volume: 489, P: 57-74

  • The authors use a series of self-finding games—wherein players must identify themselves when there are multiple potential candidates—to show that humans are near optimal at self-orienting, whereas popular reinforcement learning algorithms are not.

    • Julian De Freitas
    • Ahmet Kaan Uğuralp
    • Tomer D. Ullman
    Research
    Nature Human Behaviour
    Volume: 7, P: 2126-2139

  • In this Perspective, the authors advance a view for the science of collaborative cognition to engineer systems that can be considered thought partners, systems built to meet our expectations and complement our limitations.

    • Katherine M. Collins
    • Ilia Sucholutsky
    • Thomas L. Griffiths
    Reviews
    Nature Human Behaviour
    Volume: 8, P: 1851-1863

  • Adults and children can represent the relative difficulty of discriminating two populations and recognize that larger samples are required for populations with greater overlap. This suggests that they have foundations for ‘intuitive power analyses’.

    • Madeline C. Pelz
    • Kelsey R. Allen
    • Laura E. Schulz
    Research
    Nature Human Behaviour
    Volume: 6, P: 1557-1568

  • People can infer unobserved causes of perceptual data (e.g. the contents of a box from the sound made by shaking it). Here the authors show that children compare what they hear with what they would have heard given other causes, and explore longer when the heard and imagined sounds are hard to discriminate.

    • Max H. Siegel
    • Rachel W. Magid
    • Laura E. Schulz
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-9

  • An analysis of GPS pedestrian traces shows that (1) people increasingly deviate from the shortest path when the distance between origin and destination increases and that (2) chosen paths are statistically different when origin and destination are swapped. Ultimately, this can explain the observed human attitude in selecting different paths upon return trips.

    • Christian Bongiorno
    • Yulun Zhou
    • Carlo Ratti
    Research
    Nature Computational Science
    Volume: 1, P: 678-685

  • To study cognition, researchers have traditionally used laboratory-based experiments, but games offer a valuable alternative: they are intuitive and enjoyable. In this Perspective, Schulz et al. discuss the advantages and drawbacks of games and give recommendations for researchers.

    • Kelsey Allen
    • Franziska Brändle
    • Eric Schulz
    Reviews
    Nature Human Behaviour
    Volume: 8, P: 1035-1043

  • When an automated car harms someone, who is blamed by those who hear about it? Over five studies, Awad et al. find that drivers are blamed more than their automated cars when both make mistakes.

    • Edmond Awad
    • Sydney Levine
    • Iyad Rahwan
    Research
    Nature Human Behaviour
    Volume: 4, P: 134-143

  • Understanding the behaviour of the machines powered by artificial intelligence that increasingly mediate our social, cultural, economic and political interactions is essential to our ability to control the actions of these intelligent machines, reap their benefits and minimize their harms.

    • Iyad Rahwan
    • Manuel Cebrian
    • Michael Wellman
    Reviews
    Nature
    Volume: 568, P: 477-486