Does Training Lead to the Formation of Modules in Threshold Networks?

Research output: Contribution in Book/Catalog/Report/Conference proceedingConference contribution

19 Downloads (Pure)

Abstract

This paper addresses the question to determine the necessary
conditions for the emergence of modules in the framework of artificial
evolution. In particular, threshold networks are trained as controllers
for robots able to perform two different tasks at the same time. It is
shown that modules do not emerge under a wide set of conditions in our
experimental framework. This finding supports the hypothesis that the
emergence of modularity indeed depends upon the algorithm used for
artificial evolution and the characteristics of the tasks.
Original languageEnglish
Title of host publicationProceedings of ECCS 2014
Subtitle of host publicationEuropean Conference on Complex Systems
PublisherSpringer
Pages181-192
Number of pages12
ISBN (Electronic)978-3-319-29228-1
ISBN (Print)978-3-319-29226-7
Publication statusPublished - 1 May 2016
Eventeccs'14 - Lucca, Italy
Duration: 22 Sep 201426 Sep 2014

Publication series

NameSpringer Proceedings in Complexity
PublisherSpringer

Scientific committee

Scientific committeeeccs'14
CountryItaly
CityLucca
Period22/09/1426/09/14

Keywords

  • neural networks
  • learning
  • genetic algorithm
  • modularity
  • evolutionary robotics

Fingerprint Dive into the research topics of 'Does Training Lead to the Formation of Modules in Threshold Networks?'. Together they form a unique fingerprint.

Cite this