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Growing Adaptive Machines pp 187–200Cite as

Using the Genetic Regulatory Evolving Artificial Networks (GReaNs) Platform for Signal Processing, Animat Control, and Artificial Multicellular Development

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 557))

Abstract

Building a system that allows for pattern formation and morphogenesis is a first step towards a biologically-inspired developmental-evolutionary approach to generate complex neural networks. In this chapter we present one such system, for Genetic Regulatory evolving artificial Networks (GReaNs). We review the results of previous experiments in which we investigated the evolvability of the encoding used in GReaNs in problems which involved: (i) controlling development of multicellular 2-dimensional (2D) soft-bodied animats; (ii) controlling development of 3-dimensional (3D) multicellular artificial bodies with asymmetrical shapes and patterning; (iii) directed movement of unicellular animats in 2D; and (iv) processing signals at the level of single cells. We also report a recent introduction of spiking neuron models in GReaNs. We then present a road map towards using this system for evolution and development of neural networks.

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Acknowledgments

The work in BW’s lab is supported by the Polish National Science Centre (Project 2011/03/B/ST6/00399), with computational resources provided by the Tri-city Academic Computer Centre (TASK) and the Interdisciplinary Centre for Molecular and Mathematical Modeling (ICM, University of Warsaw; Project G33-8). We are grateful to Rene Doursat, Taras Kowaliw and Volker Steuber for discussions, and to Ahmed Abdelmotaleb for technical assistance in preparing Fig. 6.

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Authors and Affiliations

  1. Systems Modelling Laboratory, IOPAS, Sopot, Poland

    Borys Wróbel  & Michał Joachimczak

  2. Evolutionary Systems Laboratory, Adam Mickiewicz University in Poznan, Poznan, Poland

    Borys Wróbel

  3. Institute for Neuroinformatics, University of Zurich/ETHZ, Zurich, Switzerland

    Borys Wróbel

Authors
  1. Borys Wróbel
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  2. Michał Joachimczak
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Correspondence to Borys Wróbel .

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Editors and Affiliations

  1. CNRS, Institut des Systèmes Complexes - Paris Île-de-France, Paris, France

    Taras Kowaliw

  2. Institute of Intelligent Systems and Robotics, CNRS UMR 7222, Université Pierre et Marie Curie, Paris, France

    Nicolas Bredeche

  3. School of Biomedical Engineering, Drexel University, Philadelphia, Pennsylvania, USA

    René Doursat

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Wróbel , B., Joachimczak, M. (2014). Using the Genetic Regulatory Evolving Artificial Networks (GReaNs) Platform for Signal Processing, Animat Control, and Artificial Multicellular Development. In: Kowaliw, T., Bredeche, N., Doursat, R. (eds) Growing Adaptive Machines. Studies in Computational Intelligence, vol 557. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55337-0_6

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  • DOI: https://doi.org/10.1007/978-3-642-55337-0_6

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-55336-3

  • Online ISBN: 978-3-642-55337-0

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