A Procedural Planning System for Goal Oriented Agents in Games

Authors:
Yingying She;Peter Grogono
Affiliations:
Concordia University, Montreal, Canada H3G1M8;Concordia University, Montreal, Canada H3G1M8
Venue:
Canadian AI '09 Proceedings of the 22nd Canadian Conference on Artificial Intelligence: Advances in Artificial Intelligence
Year:
2009

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Abstract

This paper explores a procedural planning system for the control of game agents in real time. The planning methodology we present is based on offline goal-oriented behavioral design, and is implemented as a procedural planning system in real-time. Our design intends to achieve efficiency of planning in order to have smooth run-time animation generation. Our experimental results show that the approach is capable of improving agent control for real-time goal processing in games.