Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
A Turing test for collective motion
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Mathematics.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Mathematics.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Mathematics.
2015 (English)In: Biology Letters, ISSN 1744-9561, E-ISSN 1744-957X, Vol. 11, no 12, 20150674Article in journal (Refereed) Published
Resource type
Text
Abstract [en]

A widespread problem in biological research is assessing whether a model adequately describes some real-world data. But even if a model captures the large-scale statistical properties of the data, should we be satisfied with it? We developed a method, inspired by Alan Turing, to assess the effectiveness of model fitting. We first built a self-propelled particle model whose properties (order and cohesion) statistically matched those of real fish schools. We then asked members of the public to play an online game (a modified Turing test) in which they attempted to distinguish between the movements of real fish schools or those generated by the model. Even though the statistical properties of the real data and the model were consistent with each other, the public could still distinguish between the two, highlighting the need for model refinement. Our results demonstrate that we can use 'citizen science' to cross-validate and improve model fitting not only in the field of collective behaviour, but also across a broad range of biological systems.

Place, publisher, year, edition, pages
2015. Vol. 11, no 12, 20150674
Keyword [en]
collective motion, Alan Turing, citizen science
National Category
Bioinformatics and Systems Biology Evolutionary Biology Computational Mathematics
Identifiers
URN: urn:nbn:se:uu:diva-274944DOI: 10.1098/rsbl.2015.0674ISI: 000367482000003OAI: oai:DiVA.org:uu-274944DiVA: diva2:897851
Funder
Knut and Alice Wallenberg Foundation, 2013.0072
Available from: 2016-01-26 Created: 2016-01-26 Last updated: 2017-11-30Bibliographically approved

Open Access in DiVA

fulltext(348 kB)60 downloads
File information
File name FULLTEXT01.pdfFile size 348 kBChecksum SHA-512
39f0a0d1d2e177889e7a76746f2b8ba518dcd3761045ee5c7cd7231f7aab357297edc56e81fbb8cda3fc7671fa1d95eccdbdec8b8904864ac3a9bd63782b05e8
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Search in DiVA

By author/editor
Herbert-Read, James E.Romenskyy, MaxymSumpter, David J. T.
By organisation
Department of Mathematics
In the same journal
Biology Letters
Bioinformatics and Systems BiologyEvolutionary BiologyComputational Mathematics

Search outside of DiVA

GoogleGoogle Scholar
Total: 60 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 236 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf