title: Recent Advances in General Game Playing.
abstract: The goal of General Game Playing (GGP) has been to develop computer programs that can perform well across various game types. It is natural for human game players to transfer knowledge from games they already know how to play to other similar games. GGP research attempts to design systems that work well across different game types, including unknown new games. In this review, we present a survey of recent advances (2011 to 2014) in GGP for both traditional games and video games. It is notable that research on GGP has been expanding into modern video games. Monte-Carlo Tree Search and its enhancements have been the most influential techniques in GGP for both research domains. Additionally, international competitions have become important events that promote and increase GGP research. Recently, a video GGP competition was launched. In this survey, we review recent progress in the most challenging research areas of Artificial Intelligence (AI) related to universal game playing.
authors.affiliation: Systems Research Institute, Polish Academy of Sciences, Ulica Newelska 6, 01-447 Warsaw, Poland.
authors.forename: Maciej
authors.initials: M
authors.lastname: Świechowski
authors.affiliation: Department of Computer Science and Engineering, Sejong University, Seoul, Republic of Korea.
authors.forename: HyunSoo
authors.initials: H
authors.lastname: Park
authors.affiliation: Faculty of Mathematics and Information Science, Warsaw University of Technology, Ulica Koszykowa 75, 00-662 Warsaw, Poland.
authors.forename: Jacek
authors.initials: J
authors.lastname: Mańdziuk
authors.affiliation: Department of Computer Science and Engineering, Sejong University, Seoul, Republic of Korea.
authors.forename: Kyung-Joong
authors.initials: KJ
authors.lastname: Kim
mesh_terms: D001185:Artificial Intelligence; D005716:Game Theory; D006801:Humans; D009010:Monte Carlo Method; D011795:Surveys and Questionnaires; D018910:Video Games / Q000523:psychology* / Q000600:supply & distribution