The effect of neuromodulations on the adaptability of evolved neurocontrollers

Seiji Tokura, Akio Ishiguro, Hiroki Kawai, Peter Eggenberger

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)


One of the serious drawbacks in Evolutionary Robotics approaches is that evolved agents in simulated environments often show significantly different behavior in real environments due to unforeseen perturbations. This is sometimes referred to as the gap problem. In order to alleviate this problem, we have so far proposed Dynamically–Rearranging Neural Networks(DRNN) by introducing the concept of neuromodulations with a diffusion–reaction mechanism of signaling molecules to so– called neuromodulators. In this study, an analysis of the evolved DRNN and a quantitative comparison with standard neural networks are presented. Through this analysis, we discuss the effect of neuromodulation on the adaptability of the evolved neurocontrollers.

Original languageEnglish
Title of host publicationAdvances in Artificial Life - 6th European Conference, ECAL 2001, Proceedings
EditorsJozef Kelemen, Petr Sosik
PublisherSpringer Verlag
Number of pages4
ISBN (Print)3540425675, 9783540425670
Publication statusPublished - 2001
Externally publishedYes
Event6th European Conference on Advances in Artificial Life, ECAL 2001 - Prague, Czech Republic
Duration: 2001 Sep 102001 Sep 14

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other6th European Conference on Advances in Artificial Life, ECAL 2001
Country/TerritoryCzech Republic

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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