Abstract
Cellular 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.
Highlights
Exploratory studies on emergent artificial life contours are informed by simulations that use continuous strategy-based interactions
GENDERED GAME OF LIFE Whilst Game of Life (GoL) modeling is restricted to simple entities, this study extends simulations to ideas derived from population evolution in natural societies
During g-GoL simulations, we found the under population rule to influence evolution, with still-life coming to effect at around G60 unlike GoL where emergent life contours continued over many hundreds of generations
Summary
Exploratory studies on emergent artificial life contours are informed by simulations that use continuous strategy-based interactions. A bird’s eye view of ongoing entity interactions and their subsequent self-organization reveals many abstruse kaleidoscopic arrays of patterns [1], [2]. Converge into a still-life shape or into a repeating pattern cycle Such convergence scenarios occur when subsequent interactions among neighboring entities do not yield dependencies that could lead to their further self-organization. Game of life (GoL) offers non-linear simulations of cellular automata scenarios in which populations of simple entities switch to dead or living states as generations progress. VOLUME 7, 2019 life contours as a consequence of gender imbalance, we can inform the technoscience community and policy makers on the long-term effects of non-egalitarian gender attitudes
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