INTERACTION BETWEEN LEARNING AND EVOLUTION IN POPULATIONS OF AUTONOMOUS AGENTS

Authors

  • Vladimir G. Red’ko

DOI:

https://doi.org/10.47839/ijc.12.1.586

Keywords:

Speed and efficiency of evolutionary search, Baldwin effect, genetic assimilation.

Abstract

The model of interaction between learning and evolution for the evolving population of modeled organisms is designed and investigated. The mechanism of genetic assimilation of the acquired features during the numerous generations of Darwinian evolution is studied. The mechanism of influence of the learning load is analyzed. It is showed that the learning load leads to a significant acceleration of an evolution. The hiding effect is also studied. This effect means that a strong learning inhibits the evolutionary search in some situations.

References

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Published

2014-08-01

How to Cite

Red’ko, V. G. (2014). INTERACTION BETWEEN LEARNING AND EVOLUTION IN POPULATIONS OF AUTONOMOUS AGENTS. International Journal of Computing, 12(1), 42-47. https://doi.org/10.47839/ijc.12.1.586

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Articles