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Model of Interaction Between Learning and Evolution

  • Vladimir G. Red’ko
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 636)

Abstract

The lecture characterizes the following main properties of interaction between learning and evolution: (1) the mechanism of the genetic assimilation, (2) the hiding effect, (3) the role of the learning load at investigated processes of learning and evolution. During the genetic assimilation, phenotypes of modeled organisms move towards the optimum at learning; after this, genotypes of selected organisms also move towards the optimum. The hiding effect means that strong learning can inhibit the evolutionary search for the optimal genotype. The learning load can lead to a significant acceleration of evolution.

Keywords

Interaction between learning and evolution Genetic assimilation Hiding effect Learning load 

Notes

Acknowledgments

This work was supported by the Russian Science Foundation, Grant No 15-11-30014. The author thanks anonymous reviewers for useful comments.

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Scientific Research Institute for System AnalysisRussian Academy of SciencesMoscowRussia
  2. 2.National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)MoscowRussia

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