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Publication Detail
Evolutionary Solo Pong Players
  • Publication Type:
  • Authors:
    Langdon WB, Poli R
  • publication date:
  • Place of publication:
    Colchester, UK
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  • Print ISSN:
  • Notes:
    keywords: genetic algorithms, genetic programming, XPS, games, AI, PSO notes: Replaced by langdon:2005:CECa size: 18 pages
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 artificial intelligence. The AI techniques are: genetic programming, including a hybrid of GP and a human designed algorithm, and a particle swarm optimiser. The AI 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.
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