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Priyanka Mehra
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Proceedings Papers
. isal2023, ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life Conference95, (July 24–28, 2023) 10.1162/isal_a_00604
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The study of gene regulatory networks (GRNs) is fundamental to the understanding of evolutionary dynamics and artificial life modeling. This paper presents an integration of a GRN into the NK-fitness landscape model and explores the impact of sparsity on epistasis and pleiotropy. As sparsity augments, gene interactions diminish, expectedly leading to a reduction in both epistasis and pleiotropy. Our findings corroborate the model’s response to such perturbations, demonstrating its potential for investigating a range of GRN adaptations within the NK-fitness landscape framework.