A framework for the co-evolution of genes, proteins and a genetic code within an artificial chemistry reaction set

Authors:
Ken Gardiner;James Harland;Margaret Hamilton
Affiliations:
RMIT University, School of Computer Science and Information Technology, Melbourne, Victoria, Australia;RMIT University, School of Computer Science and Information Technology, Melbourne, Victoria, Australia;RMIT University, School of Computer Science and Information Technology, Melbourne, Victoria, Australia
Venue:
ACAL'07 Proceedings of the 3rd Australian conference on Progress in artificial life
Year:
2007

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Abstract

We present an artificial chemistry model where genotypic and phenotypic strings react with each other. The model prevents the genome from directly coding for genotype-phenotype mappings or for gene-replication enzymes. Experiments demonstrate the genome can evolve to manipulate reactions of phenotypic strings in such a way as to alter the genotype-phenotype mapping, and produce gene-replication enzymes.