• DocumentCode
    3278221
  • Title

    The Emotion Mechanism of Artificial Life Fight Behavior

  • Author

    Zhang, Guofeng ; Li, Zushu

  • Author_Institution
    Inst. of Intell. Autom., Chongqing Univ., Chongqing, China
  • Volume
    1
  • fYear
    2009
  • fDate
    6-7 June 2009
  • Firstpage
    15
  • Lastpage
    18
  • Abstract
    Applying Emotion Behavior Selection Mechanism to Dom World fight mode, a fight behavior mechanism based on emotions is built to discover how the result of a former fight influences, in emotion pattern, the decision and achievement of a letter fight. On Swarm soft platform of Artificial Life, consulting to the design and data of Dom Word simulation, a simulation of the proposed mechanism has been conducted. The results of the simulation confirm the present mechanism, by centering on the exhibition of self-organization (emergence), a classical characteristic of Artificial Society. Adopting ADI and Netto to evaluate the stimulation results of these two mechanisms, it proved that the present excels Dom World mode. And more, by comparing and analyzing the results of simulations including and excluding feedback emotion, itpsilas found that feedback mechanism increases the intensity of fight, which supports Darwinpsilas hypothesis that emotion speeds up the natural selection.
  • Keywords
    artificial life; Dom World fight mode; artificial life fight behavior; artificial society; emotion behavior selection mechanism; emotion mechanism; emotion pattern; fight influence; self organization; swarm soft platform; Analytical models; Animals; Artificial intelligence; Automation; Competitive intelligence; Computational and artificial intelligence; Computational intelligence; Feedback; Humans; Intelligent robots; artificial life; emotion; feedback; fight behaivor; mechanism;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3645-3
  • Type

    conf

  • DOI
    10.1109/CINC.2009.97
  • Filename
    5231696