• DocumentCode
    2714221
  • Title

    Evolutionary Design of Specialization

  • Author

    Eiben, A.E. ; Nitschke, G.S. ; Schut, M.C.

  • Author_Institution
    Dept. of Comput. Sci., Vrije Universiteit, Amsterdam
  • fYear
    2007
  • fDate
    1-5 April 2007
  • Firstpage
    417
  • Lastpage
    424
  • Abstract
    In this research, a neuro-evolution method called collective neuro-evolution (CONE), is introduced for the design of neural controllers (agents) operating in collective behavior task domains. The efficacy of the CONE method for facilitating emergent behavioral specialization for the benefit of increasing task performance is tested in a pursuit-evasion and collective gathering task. For a comparative study, a conventional neuro-evolution method was applied to the same tasks. In both tasks, the CONE method derived behavioral specialization in groups of agents resulting in higher task performances, where as the conventional neuro-evolution method was unable to derive specialization resulting in comparatively lower task performances
  • Keywords
    control system synthesis; emergent phenomena; neurocontrollers; collective behavior task domain; collective neuroevolution; emergent behavioral specialization; neural controller design; Computer science; Electrostatic precipitators; Evolutionary computation; Feedforward systems; Neural networks; Neurons; Robot control; Symbiosis; Testing; Weight control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Life, 2007. ALIFE '07. IEEE Symposium on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    1-4244-0701-X
  • Type

    conf

  • DOI
    10.1109/ALIFE.2007.367825
  • Filename
    4218915