Evolving Behaviour Trees for the Mario AI Competition Using Grammatical Evolution

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

@InProceedings{perez:evoapps11,

• author = "Diego Perez and Miguel Nicolau and Michael O'Neill and Anthony Brabazon",
• title = "Evolving Behaviour Trees for the Mario AI Competition Using Grammatical Evolution",
• booktitle = "Applications of Evolutionary Computing, EvoApplications 2011: {EvoCOMPLEX}, {EvoGAMES}, {EvoIASP}, {EvoINTELLIGENCE}, {EvoNUM}, {EvoSTOC}",
• year = "2011",
• month = "27-29 " # apr,
• editor = "Cecilia {Di Chio} and Stefano Cagnoni and Carlos Cotta and Marc Ebner and Aniko Ekart and Anna I Esparcia-Alcazar and Juan J. Merelo and Ferrante Neri and Mike Preuss and Hendrik Richter and Julian Togelius and Georgios N. Yannakakis",
• series = "LNCS",
• volume = "6624",
• publisher = "Springer Verlag",
• address = "Turin, Italy",
• publisher_address = "Berlin",
• pages = "123--132",
• organisation = "EvoStar",
• keywords = "genetic algorithms, genetic programming, grammatical evolution",
• isbn13 = "978-3-642-20524-8",
• DOI = "doi:10.1007/978-3-642-20525-5_13",
• size = "10 pages",
• abstract = "This paper investigates the applicability of Genetic Programming type systems to dynamic game environments. Grammatical Evolution was used to evolved Behaviour Trees, in order to create controllers for the Mario AI Benchmark. The results obtained reinforce the applicability of evolutionary programming systems to the development of artificial intelligence in games, and in dynamic systems in general, illustrating their viability as an alternative to more standard AI techniques.",
• notes = "Part of \cite{DiChio:2011:evo_a} EvoApplications2011 held inconjunction with EuroGP'2011, EvoCOP2011 and EvoBIO2011",
• affiliation = "Natural Computing Research & Applications Group, University College Dublin, Dublin, Ireland",

}

Genetic Programming entries for Diego Perez-Liebana Miguel Nicolau Michael O'Neill Anthony Brabazon

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