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GasNets and CTRNNs – A Comparison in Terms of Evolvability

  • Conference paper
From Animals to Animats 9 (SAB 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4095))

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Abstract

In the last few years a lot of work has been done to discover why GasNets outperform other network types in terms of evolvability. In this work GasNets are again compared to CTRNNs on a shape discrimination task. This task is used as to solve it, or gain an advantage, a controller does not need timers or pattern generators. We show that GasNets are outperformed by CTRNNs in terms of evolvability on this task and possible reasons for the disadvantages of GasNets are investigated. It is shown that, on a simple task where there is no necessity for a timer or pattern generator, there may be other issues which are better tackled by CTRNNs.

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Author information

Authors and Affiliations

  1. Department of Informatics,  

    Sven Magg

  2. Centre for Computational Neuroscience and Robotics, University of Sussex,  

    Sven Magg & Andrew Philippides

Authors
  1. Sven Magg
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  2. Andrew Philippides
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Editor information

Editors and Affiliations

  1. Institute of Cognitive Sciences and Technologies, LARRAL, Via S. Martino della Battaglia 44, 00185, Roma, Italy

    Stefano Nolfi

  2. Institute of Cognitive Science and Technology, (ISTC-CNR), Via San Martino della Battaglia 44, 00185, Rome, Italy

    Gianluca Baldassarre

  3. Institute of Cognitive Science and Technology, ISTC-CNR, Via S. Martino della Battaglia 44, 00185, Rome, Italy

    Raffaele Calabretta  & Davide Marocco  & 

  4. The Mærsk Mc-Kinney Møller Institute, University of Southern Denmark, Campusvej 55, 5230, Odense M, Denmark

    John C. T. Hallam

  5. UPMC Univ Paris 6, FRE2507, ISIR, F-75016, Paris, France

    Jean-Arcady Meyer

  6. Laboratory of Autonomous Robotics and Artificial Life, Institute of Cognitive, Sciences and Technologies, National Research Council, Rome, Italy

    Orazio Miglino

  7. Institute of Cognitive Sciences and Technologies, National Research Council, 44, Via San Martino della, 00185, Rome, Battaglia, Italy

    Domenico Parisi

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© 2006 Springer-Verlag Berlin Heidelberg

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Magg, S., Philippides, A. (2006). GasNets and CTRNNs – A Comparison in Terms of Evolvability. In: Nolfi, S., et al. From Animals to Animats 9. SAB 2006. Lecture Notes in Computer Science(), vol 4095. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11840541_38

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  • DOI: https://doi.org/10.1007/11840541_38

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-38608-7

  • Online ISBN: 978-3-540-38615-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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