Evidence map›Paper›PMID 36655981›Full record

ArticleCognitive science2023

How do Humans Overcome Individual Computational Limitations by Working Together?

Natalia Vélez, Brian Christian, Mathew Hardy, Bill D Thompson, Thomas L Griffiths

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cognitive science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Natalia VélezDepartment of Psychology, Harvard University.
Brian ChristianCenter for Human-Compatible AI, University of California, Berekely.
Mathew HardyDepartment of Psychology, Department of Computer Science, Princeton University, Princeton, New Jersey, USA.
Bill D ThompsonDepartment of Psychology, University of California, Berekely.
Thomas L GriffithsDepartment of Psychology, Department of Computer Science, Princeton University, Princeton, New Jersey, USA.

Funding

Computational and neural underpinnings of decision-making in social contextsK00MH125856 · NIMH · HARVARD UNIVERSITY · PI VELEZ, NATALIA · 2020 to 2022
$247k
NIMH NIH HHS K00 MH125856
6 · The paper itself

Abstract

Since the cognitive revolution, psychologists have developed formal theories of cognition by thinking about the mind as a computer. However, this metaphor is typically applied to individual minds. Humans rarely think alone; compared to other animals, humans are curiously dependent on stores of culturally transmitted skills and knowledge, and we are particularly good at collaborating with others. Rather than picturing the human mind as an isolated computer, we can imagine each mind as a node in a vast distributed system. Viewing human cognition through the lens of distributed systems motivates new questions about how humans share computation, when it makes sense to do so, and how we can build institutions to facilitate collaboration.

Indexed as

CognitionMetaphorAnimalsHumansCognitive modelingCollaborationCultural evolutionDistributed computingSocial cognition

Identifiers

PMID36655981
PMCPMC10334258

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.