Long Memory of Pathfinding Aesthetics
Author
Source
International Journal of Computer Games Technology
Issue
Vol. 2009, Issue 2009 (31 Dec. 2009), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2009-09-06
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
This paper investigates a new dynamic (i.e., space-time) model to measure aesthetic values in pathfinding for videogames.
The results we report are important firstly because the artificial intelligence literature has given relatively little attention to aesthetic considerations in pathfinding.
Secondly, those investigators who have studied aesthetics in pathfinding have relied largely on anecdotal arguments rather than metrics.
Finally, in those cases where metrics have been used in the past, they show only that aesthetic paths are different.
They provide no quantitative means to classify aesthetic outcomes.
The model we develop here overcomes these deficiencies using rescaled range (R/S) analysis to estimate the Hurst exponent, H.
It measures long-range dependence (i.e., long memory) in stochastic processes and provides a novel well-defined mathematical classification for pathfinding.
Indeed, the data indicates that aesthetic and control paths have statistically significantly distinct H signatures.
Aesthetic paths furthermore have more long memory than controls with an effect size that is large, more than three times that of an alternative approach.
These conclusions will be of interest to researchers investigating games as well as other forms of entertainment, simulation, and in general nonshortest path motion planning.
American Psychological Association (APA)
Coleman, Ron. 2009. Long Memory of Pathfinding Aesthetics. International Journal of Computer Games Technology،Vol. 2009, no. 2009, pp.1-9.
https://search.emarefa.net/detail/BIM-463104
Modern Language Association (MLA)
Coleman, Ron. Long Memory of Pathfinding Aesthetics. International Journal of Computer Games Technology No. 2009 (2009), pp.1-9.
https://search.emarefa.net/detail/BIM-463104
American Medical Association (AMA)
Coleman, Ron. Long Memory of Pathfinding Aesthetics. International Journal of Computer Games Technology. 2009. Vol. 2009, no. 2009, pp.1-9.
https://search.emarefa.net/detail/BIM-463104
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-463104