Evidence map›Paper›PMID 37235175›Full record

ArticleJournal of artificial societies and social simulation : JASSS2023

Inverse Generative Social Science: Backward to the Future.

Joshua M Epstein

Open access · goldAbstract read
In one paragraph

Article in Journal of artificial societies and social simulation : JASSS, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
17.9field-weighted citation impact, top 1% of its field
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

15 citing papers in PubMed, 41 citations in OpenAlex.

  1. Explaining "U-shaped" distributions of population substance use with a simple computational approach.Journal of artificial societies and social simulation : JASSS · 2025
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Answering evolutionary questions: A guide for mechanistic biologists.BioEssays : news and reviews in molecular, cellular and developmental biology · 2016
    Review
  9. Glucagon secretion from pancreatic α-cells.Upsala journal of medical sciences · 2016
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Complex systems modeling for obesity research.Preventing chronic disease · 2009
    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

1 author at 1 institution in 1 country.

Joshua M EpsteinNew York University, NYU School of Global Public Health, 708 Broadway, New York, NY 10003, United States.
New York University · US

Funding

Calibrated Agent Simulations for Combined Analysis of Drinking Etiologies (CASCADE)R01AA024443 · NIAAA · UNIVERSITY OF SHEFFIELD · PI PURSHOUSE, ROBIN · 2016 to 2020
$2.3M
NIAAA NIH HHS R01 AA024443
6 · The paper itself

Abstract

The agent-based model is the principal scientific instrument of generative social science. Typically, we design completed agents-fully endowed with rules and parameters-to grow macroscopic target patterns from the bottom up. Inverse generative science (iGSS) stands this approach on its head: Rather than handcrafting completed agents to grow a target-the

Indexed as

Agent-Based ModelingArtificial IntelligenceEvolutionary ComputingGenerative Social ScienceInverse Generative Social ScienceRational Choice Theory

Identifiers

PMID37235175
PMCPMC10210545
OpenAlexW4361983298

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.