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  Fitness-based models and pairwise comparison models of evolutionary games are typically different - even in unstructured populations

Wu, B., Bauer, B., Galla, T., & Traulsen, A. (2015). Fitness-based models and pairwise comparison models of evolutionary games are typically different - even in unstructured populations. New Journal of Physics, 17: 023043. doi:10.1088/1367-2630/17/2/023043.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0024-DD85-9 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0027-A667-5
Genre: Journal Article

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 Creators:
Wu, Bin1, Author              
Bauer, Benedikt1, Author              
Galla, Tobias, Author
Traulsen, Arne1, Author              
Affiliations:
1Department Evolutionary Theory, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_1445641              

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Free keywords: game theory; microscopic assumptions; stochastic dynamics
 Abstract: Themodeling of evolutionary game dynamics in finite populations requiresmicroscopic processes that determine howstrategies spread. The exact details of these processes are often chosenwithout much further consideration.Different types ofmicroscopicmodels, including in particular fitnessbased selection rules and pairwise comparison dynamics, are often used as if theywere interchangeable. We challenge this viewand investigate howrobust these choices on themicro-level really are.We focus on a keymacroscopic quantity, the probability for a singlemutant to take over a population of wild-type individuals.We showthat even in unstructured populations there is only one pair of a fitness- based process and a pairwise comparison process leading to identical outcomes for arbitrary games and for all intensities of selection. This strong restriction is not relaxed evenwhen the class of pairwise comparison processes is broadened. This highlights the perils ofmaking arbitrary choices at themicro-levelwithout regard of the consequences at themacro-level.

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Language(s): eng - English
 Dates: 2014-12-192014-10-292015-01-192015-02-13
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.1088/1367-2630/17/2/023043
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Title: New Journal of Physics
  Abbreviation : New J. Phys.
Source Genre: Journal
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Publ. Info: Bristol : IOP Publishing
Pages: 10 S. Volume / Issue: 17 Sequence Number: 023043 Start / End Page: - Identifier: ISSN: 1367-2630
CoNE: /journals/resource/954926913666