• DocumentCode
    130236
  • Title

    Racing tracks improvisation

  • Author

    Jiao Jian Wang ; Missura, Olana

  • Author_Institution
    Univ. of Bonn, Bonn, Germany
  • fYear
    2014
  • fDate
    26-29 Aug. 2014
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Procedural content generation is a popular technique in the game development. One of its typical applications is generation of game levels. This paper presents a method to generate tracks for racing games, by viewing racing track generation as a discrete sequence prediction problem. To solve it we combine two techniques from music improvisation. We show that this method is capable of generating new racing tracks which appear to be interesting.
  • Keywords
    Markov processes; computer games; discrete sequence prediction problem; music improvisation; procedural content generation; racing game development; racing track generation; racing track improvisation; variable-order Markov model; Context; Dictionaries; Games; Generators; Markov processes; Prediction algorithms; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Games (CIG), 2014 IEEE Conference on
  • Conference_Location
    Dortmund
  • Type

    conf

  • DOI
    10.1109/CIG.2014.6932899
  • Filename
    6932899