A Hierarchical Task Network Planner for Pathfinding in Real-Time Strategy Games

Naveed, Munir, Kitchin, Diane E. and Crampton, Andrew (2010) A Hierarchical Task Network Planner for Pathfinding in Real-Time Strategy Games. In: Third International Symposium on AI & Games, AISB 2010 convention, 29 March – 1 April 2010, De Montfort University, Leicester, UK. (Unpublished)

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Abstract

In this paper, we propose an automatic mechanism of Hierarchical Task Networks (HTNs) creation for solving the problem of real-time path planning in Real-Time Strategy (RTS) Games. HTNs are created using an abstraction of the game map. A real-time heuristic search approach called Learning Real-Time A* (LRTA) is applied to execute the primitive tasks of the HTNs. The main purpose of using a HTN based real-time path planner is to restrict the real-time search to a shorter part of the problem space while keeping it in the direction of the actual goal position. Results show that the hierarchical approach reduces the
suboptimality of the LRTA and speeds up the convergence process.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	A General Works > AI Indexes (General)
Schools:	School of Computing and Engineering School of Computing and Engineering > Automotive Engineering Research Group School of Computing and Engineering > High-Performance Intelligent Computing School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge School of Computing and Engineering > High-Performance Intelligent Computing > Planning, Autonomy and Representation of Knowledge ?? tserg ?? School of Computing and Engineering > High-Performance Intelligent Computing > Information and Systems Engineering Group School of Computing and Engineering > Serious Games Research Group
Related URLs:	Author Author
Depositing User:	Munir Naveed
Date Deposited:	14 Apr 2010 10:21
Last Modified:	28 Aug 2021 22:22
URI:	http://eprints.hud.ac.uk/id/eprint/7394

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