The micro-rhetorics of<i>Game-o-Matic</i>

Treanor, Mike; Schweizer, Bobby; Bogost, Ian; Mateas, Michael

doi:10.1145/2282338.2282347

Cited by 24 publications

(21 citation statements)

References 5 publications

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“…Game-O-Matic is an AI-based game generator, which transforms human-authored microrhetorics [90] into playable arcade games. Game-O-Matic is intended for journalists to quickly create newsgames, i.e., a type of game where "simulation meets Fig.…”

Section: B Game-o-maticmentioning

confidence: 99%

“…political cartoons," 2 by constructing relationships between entities. These relationships take the form of a concept map, a directed graph connecting entities through verbs: e.g., "cows make burgers," "man eats burgers" [90]. While the author can create any sort of entity, the verb in each relationship must be chosen from a predetermined yet extensive list.…”

Section: B Game-o-maticmentioning

confidence: 99%

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Orchestrating Game Generation

et al. 2019

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The design process is often characterized by and realized through the iterative steps of evaluation and refinement. When the process is based on a single creative domain such as visual art or audio production, designers primarily take inspiration from work within their domain and refine it based on their own intuitions or feedback from an audience of experts from within the same domain. What happens, however, when the creative process involves more than one creative domain such as in a digital game? How should the different domains influence each other so that the final outcome achieves a harmonized and fruitful communication across domains? How can a computational process orchestrate the various computational creators of the corresponding domains so that the final game has the desired functional and aesthetic characteristics? To address these questions, this paper identifies game facet orchestration as the central challenge for artificial-intelligence-based game generation, discusses its dimensions, and reviews research in automated game generation that has aimed to tackle it. In particular, we identify the different creative facets of games, propose how orchestration can be facilitated in a top-down or bottom-up fashion, review indicative preliminary examples of orchestration, and conclude by discussing the open questions and challenges ahead.

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Section: B Game-o-maticmentioning

confidence: 99%

Section: B Game-o-maticmentioning

confidence: 99%

Orchestrating Game Generation

et al. 2019

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“…Nelson and Mateas' work in [3] uses a 'stock set of concrete game mechanics' to build minigames. Meanwhile, The Game-O-Matic uses 'micro-rhetorics' which describe game components, and combines them using recipes which ensure the safety of the resulting game design [4]. This results in good-quality games that are reliably playable.…”

Section: Background -Related Workmentioning

confidence: 99%

Inferring Design Constraints From Game Ruleset Analysis

Cook

Colton

Raad

2018

2018 IEEE Conference on Computational Intelligence and Games (CIG)

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Designing game rulesets is an important part of automated game design, and often serves as a foundation for all other parts of the game, from levels to visuals. Popular ways of understanding game rulesets include using AI agents to play the game, which can be unreliable and computationally expensive, or restricting the design space to a set of known good game concepts, which can limit innovation and creativity. In this paper we detail how ANGELINA, an automated game designer, uses an abductive analysis of game rulesets to rapidly cull its design space. We show how abduction can be used to provide an understanding of possible paths through a ruleset, reduce unplayable or undesirable rulesets without testing, and can also help discover dynamic heuristics for a game that can guide subsequent tasks like level design.

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“…In that case, what is this other class of interpretations which admits super cial or inconsistent readings? OLs have previously been discussed in relation to at least two di erent notions of procedural representation: playable models [11] and the "representational considerations" of proceduralist readings [22]. "Playable models compose structuring information with varying operational logics to support the player in incremental exploration, intention formation, and interpretation" of a concept or system [11].…”

Section: Playable Models and Proceduralist Readingsmentioning

confidence: 99%

“…For example, in arcade games of the sort produced by Gameo-Matic, li le bundles of arbitrary, isolated mechanics are glued together into characters [22]. e game-making toolkit Game Maker emphasizes essentially the same logics as Game-o-Matic, but its characters are instead described as coherent sets of condition/reaction pairs.…”

Section: Structural Synthesismentioning

confidence: 99%

Refining operational logics

Osborn

Wardrip‐Fruin

Mateas

2017

Proceedings of the 12th International Conference on the Foundations of Digital Games

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is paper expands on and re nes the theoretical framework of operational logics, which simultaneously addresses how games operate at a procedural level and how games communicate these operations to players. In the years since their introduction, operational logics have been applied in domains ranging from game studies to game generation and game modeling languages. To support these uses and to enable new ones, we resolve some standing ambiguities and provide a catalog of key, fundamental operational logics. Concretely, we provide an explicit and detailed de nition of operational logics; specify a set of logics which seems fundamental and su ces to interpret a broad variety of games across several genres; give the rst detailed explanation of how exactly operational logics combine; and suggest application domains for which operational logics-based analysis and knowledge representation are especially appropriate. CCS CONCEPTS •Computing methodologies → Knowledge representation and reasoning; Ontology engineering; •Applied computing → Media arts;

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The micro-rhetorics ofGame-o-Matic

Cited by 24 publications

References 5 publications

Orchestrating Game Generation

Orchestrating Game Generation

Inferring Design Constraints From Game Ruleset Analysis

Refining operational logics

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