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
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;
Conference_Titel :
Soft Computing and Intelligent Systems (SCIS), 2014 Joint 7th International Conference on and Advanced Intelligent Systems (ISIS), 15th International Symposium on
DOI :
10.1109/SCIS-ISIS.2014.7044776