Evidence map›Paper›PMID 29641583›Full record

ArticlePloS one2018

Towards a computational model of social norms.

Ladislau Bölöni, Taranjeet Singh Bhatia, Saad Ahmad Khan, Jonathan Streater, Stephen M Fiore

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Supporting Artificial Social Intelligence With Theory of Mind.Frontiers in artificial intelligence · 2022
    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.

Ladislau BölöniDepartment of Computer Science, University of Central Florida, Orlando, FL, 32826, United States of America.ORCID 0000-0001-5336-9651
Taranjeet Singh BhatiaDepartment of Computer Science, University of Central Florida, Orlando, FL, 32826, United States of America.
Saad Ahmad KhanDepartment of Computer Science, University of Central Florida, Orlando, FL, 32826, United States of America.
Jonathan StreaterInstitute for Simulation & Training and Department of Philosophy, University of Central Florida, Orlando, FL, 32826, United States of America.
Stephen M FioreInstitute for Simulation & Training and Department of Philosophy, University of Central Florida, Orlando, FL, 32826, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We describe a computational model of social norms based on identifying values that a certain culture finds desirable such as dignity, generosity and politeness. The model quantifies these values in the form of Culture-Sanctioned Social Metrics (CSSMs) and treats social norms as the requirement to maximize these metrics from the perspective of the self, peers and public. This model can be used to create realistic social simulations, to explain or predict human behavior in specific scenarios, or as a component of robots or agents that need to interact with humans in specific social-cultural settings. We validate the model by using it to represent a complex deception scenario and showing that it can yield non-trivial insights such as the explanation of apparently irrational human behavior.

Indexed as

Computer SimulationSocial NormsBehaviorCultureEmotionsHumans

Identifiers

PMID29641583
PMCPMC5895006

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.