Effective load management technique for AI characters in games
Creating large populations of AI characters for game environment is a major challenge because either insufficient CPU processing time is available or it is difficult to balance the computational needs of the game AI against the requirements of other game components. We present a novel technique that...
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sg-ntu-dr.10356-911782020-05-28T07:17:34Z Effective load management technique for AI characters in games Tan, Brian. Wong, Gabriyel. School of Computer Engineering Poster Proceedings of Pacific Graphics (2008 : Tokyo, Japan) Creating large populations of AI characters for game environment is a major challenge because either insufficient CPU processing time is available or it is difficult to balance the computational needs of the game AI against the requirements of other game components. We present a novel technique that allows games to manage the functional updates of AI characters efficiently during run time. The technique is an enhancement of the elastic task model and scheduling [BLCA02] which allows the total CPU utilization of the AI characters to bead justed to the current workload of the game. We exploited the elastic nature of the technique to provide Level of Detail(LOD)effect for the AI characters. A prototype implementation on Microsoft Xbox 360 hardware is described in this paper. Accepted version 2009-03-09T06:33:42Z 2019-12-06T18:01:06Z 2009-03-09T06:33:42Z 2019-12-06T18:01:06Z 2008 2008 Conference Paper Tan, B., & Wong, G. (2008). Effective load management technique for AI characters in games. In Poster Proceedings of Pacific Graphics (2008:Tokyo, Japan) https://hdl.handle.net/10356/91178 http://hdl.handle.net/10220/4512 en 8 p. application/pdf |
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Creating large populations of AI characters for game environment is a major challenge because either insufficient CPU processing time is available or it is difficult to balance the computational needs of the game AI against the requirements of other game components. We present a novel technique that allows games to manage the functional updates of AI characters efficiently during run time. The technique is an enhancement of the elastic task model and scheduling [BLCA02] which allows the total CPU utilization of the AI characters to bead justed to the current workload of the game. We exploited the elastic nature of the technique to provide Level of Detail(LOD)effect for the AI characters. A prototype implementation on Microsoft Xbox 360 hardware is described in this paper. |
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School of Computer Engineering |
author_facet |
School of Computer Engineering Tan, Brian. Wong, Gabriyel. |
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Conference or Workshop Item |
author |
Tan, Brian. Wong, Gabriyel. |
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Tan, Brian. Wong, Gabriyel. Effective load management technique for AI characters in games |
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Tan, Brian. |
title |
Effective load management technique for AI characters in games |
title_short |
Effective load management technique for AI characters in games |
title_full |
Effective load management technique for AI characters in games |
title_fullStr |
Effective load management technique for AI characters in games |
title_full_unstemmed |
Effective load management technique for AI characters in games |
title_sort |
effective load management technique for ai characters in games |
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2009 |
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https://hdl.handle.net/10356/91178 http://hdl.handle.net/10220/4512 |
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1681057267157303296 |