Scale-Free automata networks are not robust in a collective computational task

  • Authors:
  • Christian Darabos;Mario Giacobini;Marco Tomassini

  • Affiliations:
  • Information Systems Department, University of Lausanne, Switzerland;Information Systems Department, University of Lausanne, Switzerland;Information Systems Department, University of Lausanne, Switzerland

  • Venue:
  • ACRI'06 Proceedings of the 7th international conference on Cellular Automata for Research and Industry
  • Year:
  • 2006

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Abstract

We investigate the performances and collective task-solving capabilities of complex networks of automata using the density problem as a typical case We show by computer simulations that evolved Watts–Strogatz small-world networks have superior performance with respect to scale-free graphs of the Albert–Barabási type Besides, Watts–Strogatz networks are much more robust in the face of transient uniformly random perturbations This result differs from information diffusion on scale-free networks, where random faults are highly tolerated.