Combining Cooperative and Adversarial Coevolution in the Context of Pac-Man
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{Dockhorn:2017:ieeeCIG,
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author = "Alexander Dockhorn and Rudolf Kruse",
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title = "Combining Cooperative and Adversarial Coevolution in
the Context of {Pac-Man}",
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booktitle = "2017 IEEE Conference on Computational Intelligence and
Games (CIG)",
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year = "2017",
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pages = "60--67",
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month = "22-25 " # aug,
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address = "New York",
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keywords = "genetic algorithms, genetic programming",
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ISSN = "2325-4289",
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isbn13 = "978-1-5386-3234-5",
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URL = "https://adockhorn.github.io/files/papers/Dockhorn,%20Kruse%20-%202017%20-%20Combining%20cooperative%20and%20adversarial%20coevolution%20in%20the%20context%20of%20pac-man.pdf",
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DOI = "doi:10.1109/CIG.2017.8080416",
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size = "8 pages",
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abstract = "we discuss our recent approach for evolving a diverse
set of agents for both the Pac-Man and the Ghost Team
track of the current Ms. Pac-Man vs. Ghost Team
competition. We used genetic programming for generating
various agents, which were distributed in multiple
populations. The optimisation includes cooperative and
adversarial subtasks, such that Pac-Man is constantly
competing against the Ghost Team, whereas the Ghost
Team is formed of four cooperatively evolving
populations. For the generation of a Ghost Team and
calculation of the associated fitness we took one
individual from each population. This strict separation
preserves the evolution pressure for each population
such that respective Ghost Teams compete against each
other in developing an efficient cooperation in
catching Pac-Man. This approach not only is useful for
developing a versatile set of playing agents, but also
for adapting the team to the current behaviour of the
competing populations. Ultimately, we aim for
optimising both tasks in parallel.",
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notes = "Also known as \cite{8080416}",
- }
Genetic Programming entries for
Alexander Dockhorn
Rudolf Kruse
Citations