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Dynamics of niche construction in adaptable populations evolving in diverse environments

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  • Additional Information
    • Contributors:
      Flowing Epigenetic Robots and Systems (Flowers); Inria Bordeaux - Sud-Ouest; Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Unité d'Informatique et d'Ingénierie des Systèmes (U2IS); École Nationale Supérieure de Techniques Avancées (ENSTA Paris); Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris)-École Nationale Supérieure de Techniques Avancées (ENSTA Paris); Institut Polytechnique de Paris (IP Paris)-Institut Polytechnique de Paris (IP Paris); ANR-20-CE23-0006,ECOCURL,Emergence de la communication par apprentissage par renforcement guidé par la curiosité en environnement multi-agent(2020)
    • Publication Information:
      Preprint
    • Publication Information:
      MIT Press, 2023.
    • Publication Date:
      2023
    • Abstract:
      In both natural and artificial studies, evolution is often seen as synonymous to natural selection. Individuals evolve under pressures set by environments that are either reset or do not carry over significant changes from previous generations. Thus, niche construction (NC), the reciprocal process to natural selection where individuals incur inheritable changes to their environment, is ignored. Arguably due to this lack of study, the dynamics of NC are today little understood, especially in real-world settings. In this work, we study NC in simulation environments that consist of multiple, diverse niches and populations that evolve their plasticity, evolvability and niche-constructing behaviors. Our empirical analysis reveals many interesting dynamics, with populations experiencing mass extinctions, arms races and oscillations. To understand these behaviors, we analyze the interaction between NC and adaptability and the effect of NC on the population's genomic diversity and dispersal, observing that NC diversifies niches. Our study suggests that complexifying the simulation environments studying NC, by considering multiple and diverse niches, is necessary for understanding its dynamics and can lend testable hypotheses to future studies of both natural and artificial systems.
    • Accession Number:
      10.1162/isal_a_00668
    • Accession Number:
      10.48550/arxiv.2305.09369
    • Rights:
      CC BY
    • Accession Number:
      edsair.doi.dedup.....10a8cca6693fb8581d10104a89b93f27