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On sexual selection in the presence of multiple costly displays
Michigan State University, East Lansing, United States.ORCID iD: 0000-0002-4872-1961
2020 (English)In: Proceedings of the 2019 Conference on Artificial Life: How Can Artificial Life Help Solve Societal Challenges, ALIFE 2019, MIT Press , 2020, p. 247-254Conference paper (Refereed)
Abstract [en]

Sexual selection is a powerful yet poorly understood evolutionary force. Research into sexual selection, whether biological, computational, or mathematical, has tended to take a top-down approach studying complex natural systems. Many simplifying assumptions must be made in order to make these systems tractable, but it is unclear if these simplifications result in a system which still represents natural ecological and evolutionary dynamics. Here, we take a bottom-up approach in which we construct simple computational systems from subsets of biologically plausible components and focus on examining the underlying dynamics resulting from the interactions of those components. We use this method to investigate sexual selection in general and the sexy sons theory in particular. The minimally necessary components are therefore genomes, genome-determined displays and preferences, and a process capable of overseeing parent selection and mating. We demonstrate the efficacy of our approach (i.e we observe the evolution of female preference) and provide support for sexy sons theory, including illustrating the oscillatory behavior that developed in the presence of multiple costly display traits. Copyright © ALIFE 2019.All rights reserved.

Place, publisher, year, edition, pages
MIT Press , 2020. p. 247-254
Keywords [en]
Biology, Bottom up approach, Computational system, Ecological and evolutionary dynamics, Oscillatory behaviors, Parent selection, Simplifying assumptions, Top down approaches, Underlying dynamics, Computation theory
National Category
Evolutionary Biology
Identifiers
URN: urn:nbn:se:du-37160Scopus ID: 2-s2.0-85085032169OAI: oai:DiVA.org:du-37160DiVA, id: diva2:1557923
Conference
2019 Conference on Artificial Life: How Can Artificial Life Help Solve Societal Challenges, ALIFE 2019, 29 July 2019 - 2 August 2019
Available from: 2021-05-27 Created: 2021-05-27 Last updated: 2021-05-27Bibliographically approved

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Hintze, Arend

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CiteExportLink to record
Permanent link

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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