Evolving robust strategies for an abstract real-time strategy game
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- @InProceedings{Keaveney:2009:CIG,
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author = "David Keaveney and Colm O'Riordan",
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title = "Evolving robust strategies for an abstract real-time
strategy game",
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booktitle = "IEEE Symposium on Computational Intelligence and
Games, CIG 2009",
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year = "2009",
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month = sep,
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pages = "371--378",
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keywords = "genetic algorithms, genetic programming, abstract
real-time strategy game, imperfect spatial information,
multiple spatial environments, parallel turns,
progressive refinement planning technique, robust
strategies, turn-based strategy game, game theory,
games of skill, strategic planning",
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DOI = "doi:10.1109/CIG.2009.5286453",
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abstract = "This paper presents an analysis of evolved strategies
for an abstract real-time strategy (RTS) game. The
abstract RTS game used is a turn-based strategy game
with properties such as parallel turns and imperfect
spatial information. The automated player used to learn
strategies uses a progressive refinement planning
technique to plan its next immediate turn during the
game. We describe two types of spatial tactical
coordination which we posit are important in the game
and define measures for both. A set of ten strategies
evolved in a single environment are compared to a
second set of ten strategies evolved across a set of
environments. The robustness of all of evolved
strategies are assessed when playing each other in each
environment. Also, the levels of coordination present
in both sets of strategies are measured and compared.
We wish to show that evolving across multiple spatial
environments is necessary to evolve robustness into our
strategies.",
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notes = "Also known as \cite{5286453}",
- }
Genetic Programming entries for
David Keaveney
Colm O'Riordan
Citations