DocumentCode
3563820
Title
A new approach to path-finding by possibilities search
Author
Benoit, Vallade ; Nakashima, Tomoharu
Author_Institution
Dept. of Comput. Sci. & Intell. Syst., Osaka Prefecture Univ., Sakai, Japan
fYear
2014
Firstpage
380
Lastpage
385
Abstract
This paper presents a new approach to the path-finding in video games. Path-finding algorithms, are used to find a path between two positions of a map. The standard way consists to search for a specific path. However it appears that in actual games, where the allowed computation time becomes smaller and the game-plays and maps are more complex, it should not be the best way to proceed. Therefore, this new approach to the path-finding considers the global possibilities of movement instead of searching for a specific path. This paper describes the concept of possibility and details the procedure used to search them. The appreciable experiments results prove the validity and efficiency of this approach.
Keywords
Monte Carlo methods; computer games; search problems; trees (mathematics); Dijkstra algorithm; Monte Carlo; path-finding algorithms; tree search algorithm; video games; Artificial intelligence; Complexity theory; Context; Games; Guidelines; Shape; Standards; A star algorithm; Dijkstra algorithm; Monte Carlo Tree Search algorithm; Path-finding algorithm; map simplification; notion of possibility; video games;
fLanguage
English
Publisher
ieee
Conference_Titel
Soft Computing and Intelligent Systems (SCIS), 2014 Joint 7th International Conference on and Advanced Intelligent Systems (ISIS), 15th International Symposium on
Type
conf
DOI
10.1109/SCIS-ISIS.2014.7044776
Filename
7044776
Link To Document