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
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;
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
DOI :
10.1109/CIG.2012.6374171
