2014
DOI: 10.1016/j.asoc.2014.01.011
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Solving the balance problem of massively multiplayer online role-playing games using coevolutionary programming

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Cited by 12 publications
(10 citation statements)
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“…These characteristics may trigger the player's learning and intimate behavior in the game [21]. Players include various characters from the virtual world [3], where players can create and control their own virtual avatars, and engage in the game with other players. In such places, players might be allies or have rival relationships with each other [22], and this offers players a wide variety of gameplays and options that allow players to interact with other players in the virtual world.…”
Section: Massive Multiplayer Online Role-playing Gamesmentioning
confidence: 99%
See 1 more Smart Citation
“…These characteristics may trigger the player's learning and intimate behavior in the game [21]. Players include various characters from the virtual world [3], where players can create and control their own virtual avatars, and engage in the game with other players. In such places, players might be allies or have rival relationships with each other [22], and this offers players a wide variety of gameplays and options that allow players to interact with other players in the virtual world.…”
Section: Massive Multiplayer Online Role-playing Gamesmentioning
confidence: 99%
“…In recent years, massively multiplayer online games (MMOGs) have been attractive and players around the world have become highly attached to them. Players can build their own team with friends or people from all sides and play against other players' teams [3].…”
Section: Introductionmentioning
confidence: 99%
“…Coevolutionary algorithms are a class of evolutionary algorithms inspired by the simultaneous evolution process involving two or more species. Recently, various engineering problems have been solved with this approach (Blecic, Cecchini, & Trunfio, 2014;Chen, Mori, & Matsuba, 2014;Ladjici & Boudour, 2011;Ladjici, Tiguercha, & Boudour, 2014;Wang & Chen, 2013a;Wang, Cheng, & Huang, 2014). Coevolutionary algorithms are categorized into two groups depending on the type of interaction among the species, which can be either competitive or cooperative.…”
Section: Coevolutionary Algorithmsmentioning
confidence: 99%
“…In [29], genetic algorithms were applied to find balanced character skills for role-playing games. This work was done on a small scale, with large simplifications of the custom game model and a basic intelligence that made decisions based on the rules.…”
Section: The Problem Of Balancing Game Valuesmentioning
confidence: 99%