Comparing PSO structures to learn the game of checkers from zero knowledge
N. Franken, Andries Petrus Engelbrecht · 2003
This paper investigates the effectiveness of various particle swarm optimiser structures to learn how to play the game of checkers. Co-evolutionary techniques are used to train the game playing agents. Performance is compared against a player making moves at random. Initial experimental results indicate definite advantages in using certain information sharing structures and swarm size configurations to successfully learn the game of checkers.