Strategic Team AI Path Plans: Probabilistic Pathfinding
This paper proposes a novel method to generate strategic team AI pathfinding plans for computer games and simulations using probabilistic pathfinding. This method is inspired by genetic algorithms (Russell and Norvig, 2002), in that, a fitness function is used to test the quality...
Saved in:
Main Authors: | Tng C. H. John, Edmond C. Prakash, Narendra S. Chaudhari |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2008-01-01
|
Series: | International Journal of Computer Games Technology |
Online Access: | http://dx.doi.org/10.1155/2008/834616 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Long Memory of Pathfinding Aesthetics
by: Ron Coleman
Published: (2009-01-01) -
Fractal Analysis of Stealthy Pathfinding Aesthetics
by: Ron Coleman
Published: (2009-01-01) -
Hybrid Probabilistic Road Map Path Planning for Maritime Autonomous Surface Ships Based on Historical AIS Information and Improved DP Compression
by: Gongxing Wu, et al.
Published: (2025-01-01) -
Stress landscape of folding brain serves as a map for axonal pathfinding
by: Akbar Solhtalab, et al.
Published: (2025-01-01) -
A Bi-Level Probabilistic Path Planning Algorithm for Multiple Robots with Motion Uncertainty
by: Jingchuan Wang, et al.
Published: (2020-01-01)