author_facet Coleman, Ron
Coleman, Ron
author Coleman, Ron
spellingShingle Coleman, Ron
International Journal of Computer Games Technology
Fractal Analysis of Stealthy Pathfinding Aesthetics
Computer Graphics and Computer-Aided Design
Human-Computer Interaction
Software
author_sort coleman, ron
spelling Coleman, Ron 1687-7047 1687-7055 Hindawi Limited Computer Graphics and Computer-Aided Design Human-Computer Interaction Software http://dx.doi.org/10.1155/2009/670459 <jats:p>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.</jats:p> Fractal Analysis of Stealthy Pathfinding Aesthetics International Journal of Computer Games Technology
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title Fractal Analysis of Stealthy Pathfinding Aesthetics
title_unstemmed 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
topic Computer Graphics and Computer-Aided Design
Human-Computer Interaction
Software
url http://dx.doi.org/10.1155/2009/670459
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description <jats:p>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.</jats:p>
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description <jats:p>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.</jats:p>
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spelling Coleman, Ron 1687-7047 1687-7055 Hindawi Limited Computer Graphics and Computer-Aided Design Human-Computer Interaction Software http://dx.doi.org/10.1155/2009/670459 <jats:p>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.</jats:p> Fractal Analysis of Stealthy Pathfinding Aesthetics International Journal of Computer Games Technology
spellingShingle Coleman, Ron, International Journal of Computer Games Technology, Fractal Analysis of Stealthy Pathfinding Aesthetics, Computer Graphics and Computer-Aided Design, Human-Computer Interaction, Software
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
title_unstemmed Fractal Analysis of Stealthy Pathfinding Aesthetics
topic Computer Graphics and Computer-Aided Design, Human-Computer Interaction, Software
url http://dx.doi.org/10.1155/2009/670459