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Performance And Robustness Of Cellular Automata Computation On Irregular Networks

Author

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  • CHRISTIAN DARABOS

    (Information Systems Department, University of Lausanne, CH-1015 Lausanne, Switzerland)

  • MARIO GIACOBINI

    (Department of Animal Production Epidemiology and Ecology and, Molecular Biotechnology Center, University of Torino IT-10100 Torino, Italy)

  • MARCO TOMASSINI

    (Information Systems Department, University of Lausanne, CH-1015 Lausanne, Switzerland)

Abstract

We investigate the performances of collective task-solving capabilities and the robustness of complex networks of automata using the density and synchronization problems as typical cases. We show by computer simulations that evolved Watts–Strogatz small-world networks have superior performance with respect to several kinds of scale-free graphs. In addition, we show that Watts–Strogatz networks are as robust in the face of random perturbations, both transient and permanent, as configuration scale-free networks, while being widely superior to Barabási–Albert networks. This result differs from information diffusion on scale-free networks, where random faults are highly tolerated by similar topologies.

Suggested Citation

  • Christian Darabos & Mario Giacobini & Marco Tomassini, 2007. "Performance And Robustness Of Cellular Automata Computation On Irregular Networks," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 10(supp0), pages 85-110.
    • Handle: RePEc:wsi:acsxxx:v:10:y:2007:i:supp0:n:s0219525907001124
    DOI: 10.1142/S0219525907001124
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