Research Output
Idiotypic networks for evolutionary controllers in virtual creatures.
  We propose a novel method for evolving adaptive locomotive strategies for virtual limbless creatures that addresses both functional and non-functional requirements, respectively the ability to avoid obstacles and to minimise spent energy. We describe an approach inspired by artificial immune systems, based on a dual-layer idiotypic network that results in a completely decentralised controller. Starting from a system initialised with five non-adaptive locomotion strategies, we show that an adaptive controller can evolve that both min- imises energy requirements and maximises distance covered when compared to the initial strategies.

  • Date:

    31 December 2014

  • Publication Status:


  • Publisher

    MIT Press

  • DOI:


  • Library of Congress:

    QA75 Electronic computers. Computer science

  • Dewey Decimal Classification:

    006.3 Artificial intelligence


Capodieci, N., Hart, E., & Cabri, G. (2014). Idiotypic networks for evolutionary controllers in virtual creatures. In H. Sayama, J. Rieffel, S. Risi, R. Doursat, & H. Lipson (Eds.), Artificial Life 14: Proceedings of ALife, 14th International Conference on the Synthesis and Simulation of Living Systems, (192-199).



Dual-layer idiotypic network; adaptive controller; locomotive strategies; virtual limbless creatures;

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