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CSM-423 - Evolutionary Solo Pong Players

Langdon, WB and Poli, R (2005) CSM-423 - Evolutionary Solo Pong Players. UNSPECIFIED. CSM-423, University of Essex, Colchester.

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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 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.

Item Type: Monograph (UNSPECIFIED)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Julie Poole
Date Deposited: 27 Feb 2014 11:52
Last Modified: 17 Aug 2017 17:54
URI: http://repository.essex.ac.uk/id/eprint/8685

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