Dark energy by natural evolution: Constraining dark energy using Approximate Bayesian Computation

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