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Automatic Heuristic Construction in a Complete General Game Player.
Gregory
Kuhlmann, Kurt Dresner, and Peter
Stone.
In Proceedings of the Twenty-First National Conference on Artificial Intelligence, pp. 1457–62,
July 2006.
AAAI 2006
[PDF]124.1kB [postscript]156.2kB
Creating programs that can play games such as chess, checkers, and backgammon, at a high level has long been a challenge and benchmark for AI. Typically, each such program is designed to play a single game: today's best chess-playing programs cannot play checkers, or even tic-tac-toe. General Game Playing is the problem of designing an agent capable of playing many different previously unseen games. The first AAAI General Game Playing Competition was held at AAAI 2005 in order to promote research in this area. In this article, we survey some of the issues involved in creating a general game playing system and introduce our entry to that event. The main feature of our approach is a novel method for automatically constructing effective search heuristics based on the formal game description. Our agent is fully implemented and tested in a range of different games.
@InProceedings{AAAI06-ggp,
author="Gregory Kuhlmann and Kurt Dresner and Peter Stone",
title="Automatic Heuristic Construction in a Complete General Game Player",
booktitle="Proceedings of the Twenty-First National Conference on Artificial Intelligence",
month="July",year="2006",
pages="1457--62",
abstract={
Creating programs that can play games such as chess,
checkers, and backgammon, at a high level has long
been a challenge and benchmark for AI. Typically,
each such program is designed to play a single game:
today's best chess-playing programs cannot play
checkers, or even tic-tac-toe. \emph{General} Game
Playing is the problem of designing an agent capable
of playing many different previously unseen games.
The first AAAI General Game Playing Competition was
held at AAAI 2005 in order to promote research in
this area. In this article, we survey some of the
issues involved in creating a general game playing
system and introduce our entry to that event. The
main feature of our approach is a novel method for
automatically constructing effective search
heuristics based on the formal game description.
Our agent is fully implemented and tested in a range
of different games.
},
wwwnote={<a href="http://www.aaai.org/Conferences/AAAI/aaai06.php">AAAI 2006</a>},
}
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