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