@inproceedings{b05b61da80cd42e184da82c99d311f26,
title = "Investigating group behavior in dance: An evolutionary dynamics approach",
abstract = "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.",
keywords = "Awareness of Dominance, Controlled Bifurcation, Replicator-Mutator Dynamics",
author = "Kayhan Ozcimder and Biswadip Dey and Lazier, {Rebecca J.} and Daniel Trueman and Leonard, {Naomi E.}",
note = "Publisher Copyright: {\textcopyright} 2016 American Automatic Control Council (AACC).; 2016 American Control Conference, ACC 2016 ; Conference date: 06-07-2016 Through 08-07-2016",
year = "2016",
month = jul,
day = "28",
doi = "10.1109/ACC.2016.7526687",
language = "English (US)",
series = "Proceedings of the American Control Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "6465--6470",
booktitle = "2016 American Control Conference, ACC 2016",
address = "United States",
}