Gender Diversity Population Simulations in an Extended Game of Life Context

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dc.citation.volume7
dc.contributor.authorMathrani A
dc.contributor.authorScogings C
dc.contributor.authorMathrani S
dc.date.available2019
dc.date.issued2019-06-20
dc.description.abstractCellular automata studies have been instrumental in computational and biological studies for simulating life contours based on simple rule-based strategies. Game of Life (GoL) presented us with one of the earliest automata studies that led the way in exemplifying non-linear spatial representations, such as large-scale population evolution scenarios depicting species dominance, species equilibrium, and species extinction. However, the GoL was driven by interactions among vegetative entities comprising live and die states only. This paper extends GoL to gendered-GoL (g-GoL) in which male phenotypes and female phenotypes interact in an extended world to procreate. Using the g-GoL, we have demonstrated many evolution contours by applying gender-based dependence rules. Evolution scenarios have been simulated with skewed gender ratios that favor the birth of male offspring. Preference for a male child is common in certain cultures; therefore, empirical data realized with skewed gender settings in g-GoL can reveal the long-term impact of non-egalitarian gender societal structures. Our model provides a tool for the study of emergent life contours and brings awareness on current gender imbalances to strengthen multi-disciplinary research inquiry in the areas of social practices, mathematical modeling, and use of computational technologies.
dc.description.publication-statusPublished
dc.format.extent92232 - 92239
dc.identifierhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000477864400122&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=c5bb3b2499afac691c2e3c1a83ef6fef
dc.identifier.citationIEEE ACCESS, 2019, 7 pp. 92232 - 92239
dc.identifier.doi10.1109/ACCESS.2019.2924209
dc.identifier.elements-id424893
dc.identifier.harvestedMassey_Dark
dc.identifier.issn2169-3536
dc.publisherIEEE
dc.relation.isPartOfIEEE ACCESS
dc.rightsCC BY 4.0
dc.subjectCellular automata
dc.subjectgame of life
dc.subjectgender inequity
dc.subjectpopulation evolution
dc.subjectprocreation
dc.subjectskewed gender ratios
dc.subject.anzsrc08 Information and Computing Sciences
dc.subject.anzsrc09 Engineering
dc.subject.anzsrc10 Technology
dc.titleGender Diversity Population Simulations in an Extended Game of Life Context
dc.typeJournal article
pubs.notesNot known
pubs.organisational-group/Massey University
pubs.organisational-group/Massey University/College of Sciences
pubs.organisational-group/Massey University/College of Sciences/PVC's Office - College of Sciences
pubs.organisational-group/Massey University/College of Sciences/School of Food and Advanced Technology
pubs.organisational-group/Massey University/College of Sciences/School of Mathematical and Computational Sciences
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