• DocumentCode
    3417700
  • Title

    Spatial database for digital evolutionary machines in an artificial world without knowledge-base

  • Author

    Elek, Istvan ; Roden, Janos ; Nguyen, Thai Binh

  • Author_Institution
    Fac. of Inf., Eotvos Lorand Univ., Budapest, Hungary
  • fYear
    2011
  • fDate
    19-21 Oct. 2011
  • Firstpage
    426
  • Lastpage
    431
  • Abstract
    The evolution simulation is a popular problem not only in biology but in the computer science as well. This paper will introduce the principles of the evolution units. An artificial organism, a digital evolutionary machine (DEM) will be constructed based on these principles. Properties and abilities of DEMs will be shown with resolved and pending questions. After the theoretical approach some experimental results will be shown as thousands of DEMs were created. Their life was observed and stored in a database. Some interesting analysis and charts will be shown in order to understand how DEMs work in the artificial world. Finally the DEMs´ future will be outlined.
  • Keywords
    biology computing; evolution (biological); visual databases; artificial world; biology; computer science; digital evolutionary machine; evolution simulation; evolution unit principles; spatial database; Context; Databases; Evolution (biology); Internet; Knowledge based systems; Meteorology; Organisms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computational Intelligence (IWACI), 2011 Fourth International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-61284-374-2
  • Type

    conf

  • DOI
    10.1109/IWACI.2011.6160044
  • Filename
    6160044