Using an artificial system of self-replicating strings, we show a correlation between the age of a genotype and its abundance that reflects a punctuated rather than gradual picture of evolution, as suggested long ago by Willis. In support of this correlation, we measure genotype abundance distributions and find universal coefficients. Finally, we propose a simple stochastic model which describes the dynamics of equilibrium periods and which correctly predicts most of the observed distributions.
CITATION STYLE
Adami, C., Brown, T. C., & Haggerty, M. R. (1995). Abundance-distributions in artificial life and stochastic models: “Age and area” revisited. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 929, pp. 503–514). Springer Verlag. https://doi.org/10.1007/3-540-59496-5_321
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