Chapter

Growing Adaptive Machines

Volume 557 of the series Studies in Computational Intelligence pp 251-261

Date:

Artificial Evolution of Plastic Neural Networks: A Few Key Concepts

  • Jean-Baptiste MouretAffiliated withInstitut des Systèmes Intelligents et de Robotique (ISIR), UMR 7222, Sorbonne Universités Email author 
  • , Paul TonelliAffiliated withUMR 7222, ISIR

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Abstract

This chapter introduces a hierarchy of concepts to classify the goals and the methods used in articles that mix neuro-evolution and synaptic plasticity. We propose definitions of “behavioral robustness” and oppose it to “reward-based behavioral changes”; we then distinguish the switch between behaviors and the acquisition of new behaviors. Last, we formalize the concept of “synaptic General Learning Abilities” (sGLA) and that of “synaptic Transitive learning Abilities (sTLA)”. For each concept, we review the literature to identify the main experimental setups and the typical studies.