Modeling of Interaction Between Learning and Evolution for Kauffman’s NK Networks

Vladimir G Red’Ko

doi:10.1007/978-3-030-91581-0_16

Modeling of Interaction Between Learning and Evolution for Kauffman’s NK Networks

Vladimir G Red’Ko

https://doi.org/10.1007/978-3-030-91581-0_16

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Publication Date: Nov 23, 2021

Affiliation: Institute for Systems Analysis, Russian Academy of Sciences

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AbstractThe model of interaction between learning and evolution for Kauffman’s NK networks has been designed and analyzed by means of computer simulation. The evolving population of autonomous agents is considered. Any agent has the genotype and the phenotype. Genotypes and phenotypes are coded by Kauffman’s NK networks. The agents are able to learn by means of trials and errors. Initially, the processes of learning and evolution are analyzed separately. Then the interaction between learning and evolution is studied. In particular, the effect of hiding is demonstrated; intensive learning can suppress the evolutionary optimization of genotypes in this effect.KeywordsKauffman’s NK networksLearningEvolutionAutonomous agents

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