2019 IEEE Conference on Games (CoG) 2019
DOI: 10.1109/cig.2019.8848016
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Mek: Mechanics Prototyping Tool for 2D Tile-Based Turn-Based Deterministic Games

Abstract: There are few digital tools to help designers create game mechanics. A general language to express game mechanics is necessary for rapid game design iteration. The first iteration of a mechanics-focused language, together with its interfacing tool, are introduced in this paper. The language is restricted to two-dimensional, turn-based, tile-based, deterministic, completeinformation games. The tool is compared to the existing alternatives for game mechanics prototyping and shown to be capable of succinctly impl… Show more

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Cited by 5 publications
(2 citation statements)
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“…Finally, it is worth noting that not all mixed-initiative tools pertain to level design. For instance, Mek allows designers to define a set of spatial interaction rules by directly "painting" the rules' effects [20]. Machado et al [21] introduced a mechanics recommendation system based on similarity to existing games in the corpus of GVGAI [22] games.…”
Section: A Mixed-initiative Designmentioning
confidence: 99%
“…Finally, it is worth noting that not all mixed-initiative tools pertain to level design. For instance, Mek allows designers to define a set of spatial interaction rules by directly "painting" the rules' effects [20]. Machado et al [21] introduced a mechanics recommendation system based on similarity to existing games in the corpus of GVGAI [22] games.…”
Section: A Mixed-initiative Designmentioning
confidence: 99%
“…Challenging tasks such as terrain generation which requires a large number of iterations have explored rapid prototyping and ways to support the same (T. Wang & Kurabayashi, 2020) but this involves sketches and landscapes. There have also been tools that directly aim to simplify the process of creating game mechanics, Volkovas et al have proposed the use of a language for prototyping and compare it against prevailing techniques for 2D games (Volkovas, Fairbank, Woodward, & Lucas, 2019).…”
Section: Prototypingmentioning
confidence: 99%