Dalarna University's logo and link to the university's website

du.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • 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
The Janus face of Darwinian competition
Michigan State University, East Lansing, United States.ORCID iD: 0000-0002-4872-1961
2015 (English)In: Scientific Reports, E-ISSN 2045-2322, Vol. 5, article id 13662Article in journal (Refereed) Published
Abstract [en]

Without competition, organisms would not evolve any meaningful physical or cognitive abilities. Competition can thus be understood as the driving force behind Darwinian evolution. But does this imply that more competitive environments necessarily evolve organisms with more sophisticated cognitive abilities than do less competitive environments? Or is there a tipping point at which competition does more harm than good? We examine the evolution of decision strategies among virtual agents performing a repetitive sampling task in three distinct environments. The environments differ in the degree to which the actions of a competitor can affect the fitness of the sampling agent, and in the variance of the sample. Under weak competition, agents evolve decision strategies that sample often and make accurate decisions, which not only improve their own fitness, but are good for the entire population. Under extreme competition, however, the dark side of the Janus face of Darwinian competition emerges: Agents are forced to sacrifice accuracy for speed and are prevented from sampling as often as higher variance in the environment would require. Modest competition is therefore a good driver for the evolution of cognitive abilities and of the population as a whole, whereas too much competition is devastating.

Place, publisher, year, edition, pages
Nature Publishing Group , 2015. Vol. 5, article id 13662
Keywords [en]
algorithm, evolution, human, theoretical model, Algorithms, Biological Evolution, Humans, Models, Theoretical
National Category
Evolutionary Biology
Identifiers
URN: urn:nbn:se:du-37181DOI: 10.1038/srep13662Scopus ID: 2-s2.0-84941242216OAI: oai:DiVA.org:du-37181DiVA, id: diva2:1557875
Available from: 2021-05-27 Created: 2021-05-27 Last updated: 2022-09-15Bibliographically approved

Open Access in DiVA

fulltext(784 kB)115 downloads
File information
File name FULLTEXT01.pdfFile size 784 kBChecksum SHA-512
48a07da5a4cb53cf2f028bcf15657a3f06fc25ce28a843c2a78d4b95b20d54b2254ba3b22ffdeb086d9a1cf3f49f8d41027ec191b1d40bd9c537eec22ba60fc6
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Authority records

Hintze, Arend

Search in DiVA

By author/editor
Hintze, Arend
In the same journal
Scientific Reports
Evolutionary Biology

Search outside of DiVA

GoogleGoogle Scholar
Total: 115 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: 37 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • 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