A. A. Louis

Non-Poissonian bursts in the arrival of phenotypic variation can strongly affect the dynamics of adaptation

The paper shows that non-Poissonian bursts in phenotypic variation arrival rates significantly impact adaptive dynamics, more than fitness differences.

Bias in the arrival of variation can dominate over natural selection in Richard Dawkins' biomorphs

This study shows that developmental bias, not natural selection, dominates in shaping adaptive outcomes in biomorphs, with a preference for simpler phenotypes.

Maximum Mutational Robustness in Genotype-Phenotype Maps Follows a Self-similar Blancmange-like Curve

The paper proves that maximum mutational robustness in genotype-phenotype maps follows a fractal sums-of-digits function and shows this bound is achieved by RNA secondary structure and HP model phenotypes.

Predicting phenotype transition probabilities via conditional algorithmic probability approximations

The paper derives an upper bound for phenotype transition probabilities using algorithmic probability approximations and applies it to predict transitions in RNA and protein secondary structures.

The structure of genotype-phenotype maps makes fitness landscapes navigable

The paper shows that high-dimensional genotype-phenotype maps allow fitness landscapes to be navigable without requiring fitness valleys.

Symmetry and simplicity spontaneously emerge from the algorithmic nature of evolution

The paper shows that symmetry and simplicity in biological systems arise from algorithmic biases in evolution, not just natural selection, by testing predictions on protein complexes, RNA structures, and gene networks.

Phenotype bias determines how RNA structures occupy the morphospace of all possible shapes

The paper shows that RNA secondary structure morphospace is dominated by phenotype bias, not natural selection, as frequent structures are more likely to appear from random mutations.