Fractal Analysis of Stealthy Pathfinding Aesthetics
This paper uses a fractal model to analyze aesthetic values of a new class of obstacle-prone or “stealthy” pathfinding which seeks to avoid detection, exposure, openness, and so forth in videogames. This study is important since in general the artificial intelligence literature has given relatively...
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2009-01-01
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| Series: | International Journal of Computer Games Technology |
| Online Access: | http://dx.doi.org/10.1155/2009/670459 |
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| _version_ | 1832545715884130304 |
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| author | Ron Coleman |
| author_facet | Ron Coleman |
| author_sort | Ron Coleman |
| collection | DOAJ |
| description | This paper uses a fractal model to analyze aesthetic values of a new class of obstacle-prone or “stealthy” pathfinding which seeks to avoid detection, exposure, openness, and so forth in videogames. This study is important since in general the artificial intelligence literature has given relatively little attention to aesthetic outcomes in pathfinding. The data we report, according to the fractal model, suggests that stealthy paths are statistically significantly unique in relative aesthetic value when compared to control paths. We show furthermore that paths generated with different stealth regimes are also statistically significantly unique. These conclusions are supported by statistical analysis of model results on experimental trials involving pathfinding in randomly generated, multiroom virtual worlds. |
| format | Article |
| id | doaj-art-6d8d3c83b5ac4e26910769873412df40 |
| institution | Kabale University |
| issn | 1687-7047 1687-7055 |
| language | English |
| publishDate | 2009-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Computer Games Technology |
| spelling | doaj-art-6d8d3c83b5ac4e26910769873412df402025-02-03T07:24:58ZengWileyInternational Journal of Computer Games Technology1687-70471687-70552009-01-01200910.1155/2009/670459670459Fractal Analysis of Stealthy Pathfinding AestheticsRon Coleman0Computer Science Department, Marist College, Poughkeepsie, NY 12601, USAThis paper uses a fractal model to analyze aesthetic values of a new class of obstacle-prone or “stealthy” pathfinding which seeks to avoid detection, exposure, openness, and so forth in videogames. This study is important since in general the artificial intelligence literature has given relatively little attention to aesthetic outcomes in pathfinding. The data we report, according to the fractal model, suggests that stealthy paths are statistically significantly unique in relative aesthetic value when compared to control paths. We show furthermore that paths generated with different stealth regimes are also statistically significantly unique. These conclusions are supported by statistical analysis of model results on experimental trials involving pathfinding in randomly generated, multiroom virtual worlds.http://dx.doi.org/10.1155/2009/670459 |
| spellingShingle | Ron Coleman Fractal Analysis of Stealthy Pathfinding Aesthetics International Journal of Computer Games Technology |
| title | Fractal Analysis of Stealthy Pathfinding Aesthetics |
| title_full | Fractal Analysis of Stealthy Pathfinding Aesthetics |
| title_fullStr | Fractal Analysis of Stealthy Pathfinding Aesthetics |
| title_full_unstemmed | Fractal Analysis of Stealthy Pathfinding Aesthetics |
| title_short | Fractal Analysis of Stealthy Pathfinding Aesthetics |
| title_sort | fractal analysis of stealthy pathfinding aesthetics |
| url | http://dx.doi.org/10.1155/2009/670459 |
| work_keys_str_mv | AT roncoleman fractalanalysisofstealthypathfindingaesthetics |