Title :
Evolutionary Solo Pong players
Author :
Langdon, W.B. ; Poll, R.
Author_Institution :
Comput. Sci., Essex Univ., UK
Abstract :
An Internet Java Applet http://www.cs.essex.ac.uk/staff/poli/SoloPong/ allows users anywhere to play the Solo Pong game. We compare people\´s performance to a hand coded "optimal" player and programs automatically produced by computational intelligence. The computational intelligence techniques are: genetic programming, including a hybrid of GP and a human designed algorithm, and a particle swarm optimiser. The computational intelligence approaches are not fine tuned. GP and PSO find good players. Evolutionary computation (EC) is able to beat both human designed code and human players.
Keywords :
Java; artificial intelligence; computer games; game theory; genetic algorithms; particle swarm optimisation; Internet Java applet; Solo Pong game; Solo Pong players; computational intelligence; evolutionary computation; genetic programming; human designed algorithm; particle swarm optimiser; Algorithm design and analysis; Computational intelligence; Computer science; Design optimization; Evolutionary computation; Genetic programming; Humans; Internet; Java; Particle swarm optimization;
Conference_Titel :
Evolutionary Computation, 2005. The 2005 IEEE Congress on
Print_ISBN :
0-7803-9363-5
DOI :
10.1109/CEC.2005.1555023
