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March 21, 20260 citationsOpen Access

Vanishing punctuated dynamics on high-dimensional fitness landscapes: a deep-basin condition

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HNHiroyuki Nashida

Key Points

  • The research aims to explore how dynamics change on high-dimensional fitness landscapes with different configurations.
  • Conducted Monte Carlo simulations on NK fitness landscapes.
  • Utilized dimensions ranging from 10 to 300 with over 10^11 total simulation steps.
  • Analyzed three discovered dynamical regimes: diffusive, punctuated, and frozen.
  • Identified that the punctuated regime shrinks and eventually vanishes as dimensionality exceeds 20.
  • Found that this vanishing is independent of the epistasis parameter K (tested 0–16).
  • Established a deep-basin condition requiring basin depth to scale with genetic dimensionality for punctuated dynamics to persist.

Abstract

Monte Carlo simulation of evolutionary dynamics on NK fitness landscapes with two tunable Gaussian basins, spanning dimensions d=10–300 with over 10¹1 total steps across approximately 23, 000 runs. Three dynamical regimes are discovered: diffusive, punctuated, and frozen. The punctuated regime occupies a narrow band that shrinks and vanishes as dimensionality increases, closing at d≈20. This vanishing is driven by concentration of measure on the binary hypercube and is independent of the epistasis parameter K (tested for K=0–16). The results establish a deep-basin condition: basin depth must scale with genetic dimensionality to sustain punctuated dynamics, a condition that in biological systems would require mechanisms such as stabilizing selection or developmental constraints.

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Cite This Study

Hiroyuki Nashida (2026) studied this question.

synapsesocial.com/papers/69be35d76e48c4981c6744d4https://doi.org/10.5281/zenodo.19099440
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