The evolution of evolvability in genetic programming
Advances in genetic programming
Effects of locality in individual and population evolution
Advances in genetic programming
Genome Growth and the Evolution of the Genotype-Phenotype Map
Evolution and Biocomputation, Computational Models of Evolution
Multilevel selection and the evolution of predatory restraint
ICAL 2003 Proceedings of the eighth international conference on Artificial life
Demonstrating the evolution of complex genetic representations: an evolution of artificial plants
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartI
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Takeover times on scale-free topologies
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Pair approximations of takeover dynamics in regular population structures
Evolutionary Computation
Evolutionary dynamics on scale-free interaction networks
IEEE Transactions on Evolutionary Computation
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The opportunistic character of adaptation through natural selection can lead to evolutionary pathologies—situations in which traits evolve that promote the extinction of the population. Such pathologies include imprudent predation and other forms of habitat overexploitation, or the tragedy of the commons, adaptation to temporally unreliable resources, cheating and other antisocial behavior, infectious pathogen carrier states, parthenogenesis, and cancer, an intraorganismal evolutionary pathology. It is known that hierarchical population dynamics can protect a population from invasion by pathological genes. Can it also alter the genotype so as to prevent the generation of such genes in the first place, that is, suppress the evolvability of evolutionary pathologies? A model is constructed in which one locus controls the expression of the pathological trait, and a series of modifier loci exist that can prevent the expression of this trait. It is found that multiple evolvability checkpoint genes can evolve to prevent the generation of variants that cause evolutionary pathologies. The consequences of this finding are discussed.