Combining cooperative and adversarial coevolution in the context of pac-man
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- @InProceedings{Dockhorn:2017:ieeeCIG,
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author = "Alexander Dockhorn and Rudolf Kruse",
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booktitle = "2017 IEEE Conference on Computational Intelligence and
Games (CIG)",
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title = "Combining cooperative and adversarial coevolution in
the context of pac-man",
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year = "2017",
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pages = "60--67",
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abstract = "In this paper 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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keywords = "genetic algorithms, genetic programming",
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DOI = "
doi:10.1109/CIG.2017.8080416",
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month = aug,
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notes = "Also known as \cite{8080416}",
- }
Genetic Programming entries for
Alexander Dockhorn
Rudolf Kruse
Citations