Hierarchical Pathfinding and AI-Based Learning Approach in Strategy Game Design
Joint Authors
Sidhu, Amandeep Singh
Chaudhari, Narendra S.
Duc, Le Minh
Source
International Journal of Computer Games Technology
Issue
Vol. 2008, Issue 2008 (31 Dec. 2008), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2008-06-18
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
Strategy game and simulation application are an exciting area with many opportunities for study and research.
Currently most of the existing games and simulations apply hard coded rules so the intelligence of the computer generated forces is limited.
After some time, player gets used to the simulation making it less attractive and challenging.
It is also costly and tedious to incorporate new rules for an existing game.
The main motivation behind this research project is to improve the quality of artificial intelligence- (AI-) based on various techniques such as qualitative spatial reasoning (Forbus et al., 2002), near-optimal hierarchical pathfinding (HPA*) (Botea et al., 2004), and reinforcement learning (RL) (Sutton and Barto, 1998).
American Psychological Association (APA)
Duc, Le Minh& Sidhu, Amandeep Singh& Chaudhari, Narendra S.. 2008. Hierarchical Pathfinding and AI-Based Learning Approach in Strategy Game Design. International Journal of Computer Games Technology،Vol. 2008, no. 2008, pp.1-11.
https://search.emarefa.net/detail/BIM-505238
Modern Language Association (MLA)
Duc, Le Minh…[et al.]. Hierarchical Pathfinding and AI-Based Learning Approach in Strategy Game Design. International Journal of Computer Games Technology No. 2008 (2008), pp.1-11.
https://search.emarefa.net/detail/BIM-505238
American Medical Association (AMA)
Duc, Le Minh& Sidhu, Amandeep Singh& Chaudhari, Narendra S.. Hierarchical Pathfinding and AI-Based Learning Approach in Strategy Game Design. International Journal of Computer Games Technology. 2008. Vol. 2008, no. 2008, pp.1-11.
https://search.emarefa.net/detail/BIM-505238
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-505238