  We look at dark energy from a biology inspired viewpoint by means of the
Approximate Bayesian Computation (ABC) and late time cosmological observations.
We find that dynamical dark energy comes out on top, or in the ABC language
naturally selected, over the standard $\Lambda$CDM cosmological scenario. We
confirm this conclusion is robust to whether baryon acoustic oscillations and
Hubble constant priors are considered. Our results show that the algorithm
prefers low values of the Hubble constant, consistent or at least a few
standard deviation away from the cosmic microwave background estimate,
regardless of the priors taken initially in each model. This supports the
result of the traditional MCMC analysis and could be viewed as strengthening
evidence for dynamical dark energy being a more favorable model of late time
cosmology.
