W. Langdon, and R. Poli. CSM-423. Department of Computer Science, University of Essex, Colchester, UK, (17 March 2005)
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.
%0 Report
%1 langdon:2005:pongtr
%A Langdon, W. B.
%A Poli, Riccardo
%C Colchester, UK
%D 2005
%K AI, PSO XPS, algorithms, games, genetic programming,
%N CSM-423
%T Evolutionary Solo Pong Players
%U http://www.cs.essex.ac.uk/technical-reports/2005/csm423.pdf
%X 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.
@techreport{langdon:2005:pongtr,
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.},
added-at = {2008-06-19T17:35:00.000+0200},
address = {Colchester, UK},
author = {Langdon, W. B. and Poli, Riccardo},
biburl = {https://www.bibsonomy.org/bibtex/286baf33851d74ca77171e13a646419ac/brazovayeye},
institution = {Department of Computer Science, University of Essex},
interhash = {756a24782bd7ae7b8f70b6466e453a5c},
intrahash = {86baf33851d74ca77171e13a646419ac},
issn = {1744-8050},
keywords = {AI, PSO XPS, algorithms, games, genetic programming,},
month = {17 March},
notes = {Replaced by langdon:2005:CECa},
number = {CSM-423},
size = {18 pages},
timestamp = {2008-06-19T17:45:03.000+0200},
title = {Evolutionary Solo Pong Players},
url = {http://www.cs.essex.ac.uk/technical-reports/2005/csm423.pdf},
year = 2005
}