Evolving a Ms. PacMan Controller Using Grammatical Evolution

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@InProceedings{galvanlopez:2010:evogames,

• author = "Edgar Galvan-Lopez and John Mark Swafford and Michael O'Neill and Anthony Brabazon",
• title = "Evolving a {Ms. PacMan} Controller Using Grammatical Evolution",
• booktitle = "EvoGAMES",
• year = "2010",
• editor = "Cecilia {Di Chio} and Stefano Cagnoni and Carlos Cotta and Marc Ebner and Aniko Ekart and Anna I. Esparcia-Alcazar and Chi-Keong Goh and Juan J. Merelo and Ferrante Neri and Mike Preuss and Julian Togelius and Georgios N. Yannakakis",
• volume = "6024",
• series = "LNCS",
• pages = "161--170",
• address = "Istanbul",
• month = "7-9 " # apr,
• organisation = "EvoStar",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming, grammatical evolution",
• isbn13 = "978-3-642-12238-5",
• DOI = "doi:10.1007/978-3-642-12239-2_17",
• abstract = "In this paper we propose an evolutionary approach capable of successfully combining rules to play the popular video game, Ms. Pac-Man. In particular we focus our attention on the benefits of using Grammatical Evolution to combine rules in the form of if then perform . We defined a set of high-level functions that we think are necessary to successfully manoeuvre Ms. Pac-Man through a maze while trying to get the highest possible score. For comparison purposes, we used four Ms. Pac-Man agents, including a hand-coded agent, and tested them against three different ghosts teams. Our approach shows that the evolved controller achieved the highest score among all the other tested controllers, regardless of the ghost team used.",
• notes = "EvoGAMES'2010 held in conjunction with EuroGP'2010 EvoCOP2010 EvoBIO2010",

}

Genetic Programming entries for Edgar Galvan Lopez John Mark Swafford Michael O'Neill Anthony Brabazon

Citations