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Tartarus And Fractal Gene Regulatory Networks With Inputs

Author

Listed:
  • P. ZAHADAT

    (Department of Computer Science and Engineering, School of Engineering, Shiraz University, Shiraz, Iran)

  • S. D. KATEBI

    (Department of Computer Science and Engineering, School of Engineering, Shiraz University, Shiraz, Iran)

Abstract

Tartarus is a benchmark problem used to evaluate artificial intelligence techniques for solving problems in the field of non-Markovian agent motion planning. In this paper a fractal gene regulatory network with inputs is evolved to act as a virtual robot controller in the Tartarus environment. The proposed technique is compared and contrasted with other previously reported techniques and it is shown that the gene regulatory network that includes input information provides an excellent performance without using any explicit memory or environmental modeling. Detailed experimental studies are presented to illustrate the effectiveness and superiority of the proposed approach.

Suggested Citation

  • P. Zahadat & S. D. Katebi, 2008. "Tartarus And Fractal Gene Regulatory Networks With Inputs," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 11(06), pages 803-829.
    • Handle: RePEc:wsi:acsxxx:v:11:y:2008:i:06:n:s0219525908001982
    DOI: 10.1142/S0219525908001982
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    Cited by:

    1. Stradner, Jürgen & Thenius, Ronald & Zahadat, Payam & Hamann, Heiko & Crailsheim, Karl & Schmickl, Thomas, 2013. "Algorithmic requirements for swarm intelligence in differently coupled collective systems," Chaos, Solitons & Fractals, Elsevier, vol. 50(C), pages 100-114.

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