Particle swarm optimization applied to the chess game

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.