Towards Human-Competitive Game Playing for Complex Board Games with Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.7410

@InProceedings{Robilliard:2015:EA,

• author = "Denis Robilliard and Cyril Fonlupt",
• title = "Towards Human-Competitive Game Playing for Complex Board Games with Genetic Programming",
• booktitle = "Artificial Evolution",
• year = "2015",
• editor = "Stephane Bonnevay and Pierrick Legrand and Nicolas Monmarche and Evelyne Lutton and Marc Schoenauer",
• volume = "9554",
• series = "LNCS",
• pages = "123--135",
• address = "Lyon, France",
• month = "26-28 " # oct,
• organisation = "Association Evolution Artificielle",
• publisher = "Springer",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-3-319-31471-6",
• URL = "http://www-lisic.univ-littoral.fr/publis/1445328959.pdf",
• DOI = "doi:10.1007/978-3-319-31471-6_10",
• abstract = "Recent works have shown that Genetic Programming (GP) can be quite successful at evolving human-competitive strategies for games ranging from classic board games, such as chess, to action video games. However to our knowledge GP was never applied to modern complex board games, so-called eurogames, such as Settlers of Catan, i.e. board games that typically involve four characteristics: they are non zero-sum games, multiplayer, with hidden information and random elements. In this work we study how GP can evolve artificial players from low level attributes of a eurogame named 7 Wonders, that features all the characteristics of this category. We show that GP can evolve competitive artificial intelligence (AI) players against human-designed AI or against Monte Carlo Tree Search, a standard in automatic game playing.",
• notes = "Published 2016 https://ea2015.inria.fr/ http://www.lifl.fr/EA/",

}

Genetic Programming entries for Denis Robilliard Cyril Fonlupt

Citations