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The procedural planning system used in the agent architecture of games
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Source Future Play archive
Proceedings of the 2008 Conference on Future Play: Research, Play, Share table of contents
Toronto, Ontario, Canada
POSTER SESSION: Artificial intelligence table of contents
Pages 256-257  
Year of Publication: 2008
ISBN:978-1-60558-218-4
Authors
Yingying She  Concordia University, Montreal, Canada
Peter Grogono  Concordia University, Montreal, Canada
Publisher
ACM  New York, NY, USA
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ABSTRACT

We discuss a procedural planning approach that automatically and dynamically generates plans for game agents in real-time. This approach is applied to the design of an agent architecture in our current research project, Gameme, a game design application. This planning depends on offline goal design, the structure of the agent architecture, and real-time planning mechanisms. The Procedural Planning System (PPS) is capable of improving agents' control for real-time goal processing in games.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
R. P. Bonasso, D. Kortenkamp, D. P. Miller, and M. Slack. Experiences with an architecture for intelligent, reactive agents. Journal of Experimental and Theoretical Artificial Intelligence, pages 237--256, 1997.
 
2
R. A. Brooks. A robust layered control system for a mobile robot. IEEE Journal of Robotics and Automation, April 1986.
 
3
 
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A. Nareyek. Artificial Intelligence in Computer Games. Game Development, 1(10), February 2004.
 
5
N. Nilsson. Teleo-reactive programs and the triple-tower architecture. Electronics Transactions in Artificial Intelligence, pages 99--110, 2001.
 
6
J. Orkin. Agent architecture considerations for real-time planning in games. Artificial Intelligence and Interactive Digital Entertainment (AIIDE), 2005.
 
7
Y. She and P. Grogono. Goal oriented behavior trees: A new strategy for controlling agents in games. GameOn NA, August 2008.
8

Collaborative Colleagues:
Yingying She: colleagues
Peter Grogono: colleagues