Title :
Particle swarm optimization applied to the chess game
Author :
Duro, João António ; de Oliveira, Jose Valente
Author_Institution :
UALG-ILAB, Univ. of Algarve, Faro
Abstract :
To the best of the authorspsila knowledge this paper investigates for the first time the applicability of particle swarm optimization (PSO) to a chess player agent endowing it with learning abilities, i.e. allowing the agent to improve its performance based on its experience.
Keywords :
games of skill; learning (artificial intelligence); minimax techniques; particle swarm optimisation; simulated annealing; chess game; heuristic evaluation function; minimax algorithm; particle swarm optimization; simulated annealing; Application software; Artificial intelligence; Computational modeling; Hardware; Humans; Learning; Minimax techniques; Particle swarm optimization; Safety; Simulated annealing;
Conference_Titel :
Evolutionary Computation, 2008. CEC 2008. (IEEE World Congress on Computational Intelligence). IEEE Congress on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-1822-0
Electronic_ISBN :
978-1-4244-1823-7
DOI :
10.1109/CEC.2008.4631299
