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
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