• DocumentCode
    2416425
  • Title

    Statistical analyses of representation choice in level generation

  • Author

    McGuinness, Cameron

  • Author_Institution
    Dept. of Math. & Stat., Univ. of Guelph in Guelph, Guelph, ON, Canada
  • fYear
    2012
  • fDate
    11-14 Sept. 2012
  • Firstpage
    312
  • Lastpage
    319
  • Abstract
    This study demonstrates that representation choice in automatic map creation affects the characteristics of the map generated as well as showing that representation choice makes a statistically significant difference in the degree of satisfaction of the fitness functions used to drive map creation. This result is demonstrated with Tukeys HSD procedure and factor analysis. It was found that different representations are good at creating maps with specific characteristics. It also shows that there are significant differences in the maps that are created with different representations. This study is a companion to earlier qualitative research, providing a quantitative perspective on the impact of representation on automatic map creation.
  • Keywords
    computer games; statistical analysis; Tukeys HSD procedure; automatic map creation; factor analysis; fitness functions; level generation; representation choice; statistical analyses; video game; Algorithm design and analysis; Arrays; Color; Computational intelligence; Conferences; Games; Statistical analysis; Search based procedural content generation; automatic game content generation; evolutionary computation; factor analysis; level generation; scalable content generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Games (CIG), 2012 IEEE Conference on
  • Conference_Location
    Granada
  • Print_ISBN
    978-1-4673-1193-9
  • Electronic_ISBN
    978-1-4673-1192-2
  • Type

    conf

  • DOI
    10.1109/CIG.2012.6374171
  • Filename
    6374171