Evolving Teams of Cooperating Agents for Real-Time Strategy Game
Created by W.Langdon from
gp-bibliography.bib Revision:1.8081
- @InProceedings{Lichocki:2009:EvoGAMES,
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title = "Evolving Teams of Cooperating Agents for Real-Time
Strategy Game",
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author = "Pawel Lichocki and Krzysztof Krawiec and
Wojciech Jaskowski",
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year = "2009",
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booktitle = "EvoGAMES",
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series = "Lecture Notes in Computer Science",
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editor = "Mario Giacobini and Anthony Brabazon and
Stefano Cagnoni and Gianni Di Caro and Aniko Ekart and
Anna Esparcia-Alcazar and Muddassar Farooq and
Andreas Fink and Penousal Machado",
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volume = "5484",
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pages = "333--342",
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publisher = "Springer",
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keywords = "genetic algorithms, genetic programming, real-time
strategy games, artificial intelligence",
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DOI = "doi:10.1007/978-3-642-01129-0_37",
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bibsource = "OAI-PMH server at infoscience.epfl.ch",
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language = "en",
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oai = "oai:infoscience.epfl.ch:147850",
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abstract = "We apply gene expression programing to evolve a player
for a real-time strategy (RTS) video game. The paper
describes the game, evolutionary encoding of strategies
and the technical implementation of experimental
framework. In the experimental part, we compare two
setups that differ with respect to the used approach of
task decomposition. One of the setups turns out to be
able to evolve an effective strategy, while the other
leads to more sophisticated yet inferior solutions. We
discuss both the quantitative results and the
behavioural patterns observed in the evolved
strategies.",
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affiliation = "Poznan Supercomputing and Networking Centre Poznan
Poland",
- }
Genetic Programming entries for
Pawel Lichocki
Krzysztof Krawiec
Wojciech Jaskowski
Citations