Evolving Teams of Cooperating Agents for Real-Time Strategy Game

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Lichocki:2009:EvoGAMES,

• title = "Evolving Teams of Cooperating Agents for Real-Time Strategy Game",
• author = "Pawel Lichocki and Krzysztof Krawiec and Wojciech Jaskowski",
• year = "2009",
• booktitle = "EvoGAMES",
• series = "Lecture Notes in Computer Science",
• 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",
• volume = "5484",
• pages = "333--342",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, real-time strategy games, artificial intelligence",
• DOI = "doi:10.1007/978-3-642-01129-0_37",
• bibsource = "OAI-PMH server at infoscience.epfl.ch",
• language = "en",
• oai = "oai:infoscience.epfl.ch:147850",
• 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.",
• affiliation = "Poznan Supercomputing and Networking Centre Poznan Poland",

}

Genetic Programming entries for Pawel Lichocki Krzysztof Krawiec Wojciech Jaskowski

Citations