Evolving Tactical Teams for Shooter Games using Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8081

@InProceedings{Doherty2008b,

• author = "Darren Doherty",
• title = "Evolving Tactical Teams for Shooter Games using Genetic Programming",
• booktitle = "Proceedings of the 3rd European Graduate Student Workshop on Evolutionary Computation",
• year = "2008",
• pages = "29--42",
• location = "Naples, Italy",
• editor = "Jano {Van Hemert} and Mario Giacobini and Cecilia {Di Chio}",
• address = "University of Naples Federico II",
• month = "27 " # mar,
• keywords = "genetic algorithms, genetic programming, team evolution",
• organisation = "Evostar",
• URL = "http://netserver.it.nuigalway.ie/darrendoherty/publications/evophd2008.pdf",
• size = "14 pages",
• abstract = "In recent years, there has been an emergence of squad-based shooter computer games. For a team to be tactically proficient, intelligent non-playable characters (NPCs) must be created that are able to assess their situation, choose effective courses of action and coordinate their behaviour so that they work together effectively. This is a very difficult task and game developers are still striving to create teams of NPCs that are able to display effective team behaviours. Our research examines genetic programming (GP) as a technique to automatically develop effective team behaviours for shooter games. Previous experiments have given rise to GP evolved teams capable of consistently defeating a single powerful enemy agent. The behaviours of these teams have been analysed using a technique we developed for analysing team phenotypes. In future work, we wish to incorporate explicit communication into the evolution and improve our phenotypic analysis method.",
• notes = "EvoPHD'2008 held in conjunction with EuroGP-2008, EvoCOP2008, EvoBIO2008 and EvoWorkshops2008",

}

Genetic Programming entries for Darren Doherty

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