Understanding Innovation Engines: Automated Creativity and Improved Stochastic Optimization via Deep Learning.
- DOI
- 10.1162/evco_a_00189
- Published
- 2016 Fall
- Container
- Evolutionary computation
- Publisher
- Not recorded
- Open access
- unknown
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1162/evco_a_00189,
title = {Understanding Innovation Engines: Automated Creativity and Improved Stochastic Optimization via Deep Learning.},
author = {Nguyen A and Yosinski J and Clune J},
year = {2016},
journal = {Evolutionary computation},
doi = {10.1162/evco_a_00189},
url = {https://doi.org/10.1162/evco_a_00189}
}RIS
TY - JOUR TI - Understanding Innovation Engines: Automated Creativity and Improved Stochastic Optimization via Deep Learning. AU - Nguyen A AU - Yosinski J AU - Clune J PY - 2016 JO - Evolutionary computation DO - 10.1162/evco_a_00189 UR - https://doi.org/10.1162/evco_a_00189 ER -
APA
A, N., J, Y., & J, C. (2016). Understanding Innovation Engines: Automated Creativity and Improved Stochastic Optimization via Deep Learning.. Evolutionary computation. https://doi.org/10.1162/evco_a_00189
Source records
- pubmed · retrieved 2026-09-25T02:55:51.260Z