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Monte Carlo simulation uncovers dynamics in fitness landscapes, indicating requirements for punctuated regimes.
Monte Carlo simulation of evolutionary dynamics on NK fitness landscapes with two tunable Gaussian basins, spanning dimensions d=10–300 with over 10^11 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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Hiroyuki Nashida (2026) studied this question.
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