skip to main content
10.1145/3205651.3205781acmconferencesArticle/Chapter ViewAbstractPublication PagesgeccoConference Proceedingsconference-collections
poster
Public Access

Embodiment can combat catastrophic forgetting

Published:06 July 2018Publication History

ABSTRACT

We use an evolutionary robotics approach to demonstrate how the choice of robot morphology can affect one specific aspect of neural networks: their ability to resist catastrophic forgetting.

References

  1. Josh Bongard. 2011. Morphological change in machines accelerates the evolution of robust behavior. Proceedings of the National Academy of Sciences 108, 4 (2011), 1234--1239.Google ScholarGoogle ScholarCross RefCross Ref
  2. Robert M French. 1999. Catastrophic forgetting in connectionist networks. Trends in cognitive sciences 3, 4 (1999), 128--135.Google ScholarGoogle Scholar
  3. Helmut Hauser, Auke J Ijspeert, Rudolf M Füchslin, Rolf Pfeifer, and Wolfgang Maass. 2011. Towards a theoretical foundation for morphological computation with compliant bodies. Biological cybernetics 105, 5--6 (2011), 355--370. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Sam Kriegman, Nick Cheney, and Josh Bongard. 2017. How morphological development can guide evolution. arXiv preprint arXiv.1711.07387 (2017).Google ScholarGoogle Scholar
  1. Embodiment can combat catastrophic forgetting

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Conferences
        GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference Companion
        July 2018
        1968 pages
        ISBN:9781450357647
        DOI:10.1145/3205651

        Copyright © 2018 Owner/Author

        Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 6 July 2018

        Check for updates

        Qualifiers

        • poster

        Acceptance Rates

        Overall Acceptance Rate1,669of4,410submissions,38%

        Upcoming Conference

        GECCO '24
        Genetic and Evolutionary Computation Conference
        July 14 - 18, 2024
        Melbourne , VIC , Australia
      • Article Metrics

        • Downloads (Last 12 months)22
        • Downloads (Last 6 weeks)1

        Other Metrics

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader