Title :
Pac-mAnt: Optimization based on ant colonies applied to developing an agent for Ms. Pac-Man
Author :
Emilio, Martin ; Moises, Martinez ; Gustavo, Recio ; Yago, Saez
Abstract :
This paper proposes the use of an optimization algorithm based on ant colonies for the development of competitive agents in the game environment in real time, specifically for the Ms. Pac-Man video game. Furthermore, a genetic algorithm is implemented to optimize the parameters of the artificial ants. The best agent obtained through experimentation will be sent to the competition of Ms. Pac-Man1 organized by the IEEE, framed within the Computational Intelligence and Games 2010 (CIG2010).
Keywords :
computer games; genetic algorithms; multi-agent systems; Computational Intelligence and Games; Ms. Pac-Man video game; Pac-mAnt; ant colony optimization; artificial ant; competitive agent; genetic algorithm; Computational intelligence; Conferences; Equations; Games; Mathematical model; Optimization; Software;
Conference_Titel :
Computational Intelligence and Games (CIG), 2010 IEEE Symposium on
Conference_Location :
Dublin
Print_ISBN :
978-1-4244-6295-7
Electronic_ISBN :
978-1-4244-6296-4
DOI :
10.1109/ITW.2010.5593319
