Investigating group behavior in dance: An evolutionary dynamics approach

Kayhan Ozcimder, Biswadip Dey, Rebecca J. Lazier, Daniel Trueman, Naomi E. Leonard

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Scopus citations


We investigate group behavior in dance using an evolutionary dynamic model. Our approach is motivated by observations of nineteen dancers during a performance in which they choose a sequence of dance movements from a finite set of allowable movement modules as they perform. Results show evidence that subgroups of dancers performing the same movement module with greater representation are aware of their dominance, which in turn influences their switching rates between modules. We introduce the notion of awareness of dominance into the well-studied framework of replicator-mutator dynamics, where modules are represented as strategies. By letting awareness of dominance tune mutation strength, we demonstrate its influence in the evolution of strategies. The tuning yields a feedback controlled bifurcation in the model dynamics, which predicts persistence of dominant strategies as observed in the behavior of the dance group.

Original languageEnglish (US)
Title of host publication2016 American Control Conference, ACC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781467386821
StatePublished - Jul 28 2016
Event2016 American Control Conference, ACC 2016 - Boston, United States
Duration: Jul 6 2016Jul 8 2016

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619


Other2016 American Control Conference, ACC 2016
Country/TerritoryUnited States

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering


  • Awareness of Dominance
  • Controlled Bifurcation
  • Replicator-Mutator Dynamics


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