From Mechanics to Meaning

Summerville, Adam; Martens, Chris; Harmon, Sarah; Mateas, Michael; Osborn, Joseph C.; Wardrip‐Fruin, Noah; Jhala, Arnav

doi:10.1109/tciaig.2017.2765599

Cited by 13 publications

(6 citation statements)

References 13 publications

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“…Mappy essentially attempts to create understanding of map levels from movement mechanics. This is similar to what Summerville et al created as a part of the Gemini system, a logic program that performs static reasoning over game specifications in order to find meaning [32]. One can see overlap between our system and theirs, in particular the similarities between AtDelfi's condition/action nodes (covered in section 4.1.1) and Cygnus' precondition/result formalisms.…”

Section: Generative Methods For Tutorials and Game Mechanicssupporting

confidence: 65%

AtDELFI

Green

Khalifa

Barros

et al. 2018

Proceedings of the 13th International Conference on the Foundations of Digital Games

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This paper introduces a fully automatic method for generating video game tutorials. The AtDELFI system (AuTomatically DEsigning Legible, Full Instructions for games) was created to investigate procedural generation of instructions that teach players how to play video games. We present a representation of game rules and mechanics using a graph system as well as a tutorial generation method that uses said graph representation. We demonstrate the concept by testing it on games within the General Video Game Artificial Intelligence (GVG-AI) framework; the paper discusses tutorials generated for eight different games. Our findings suggest that a graph representation scheme works well for simple arcade style games such as Space Invaders and Pacman, but it appears that tutorials for more complex games might require higher-level understanding of the game than just single mechanics.

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Section: Generative Methods For Tutorials and Game Mechanicssupporting

confidence: 65%

AtDELFI

Green

Khalifa

Barros

et al. 2018

Proceedings of the 13th International Conference on the Foundations of Digital Games

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show abstract

“…Mappy attempts to create map understanding from movement mechanics. This is similar to what Summerville et al created as a part of the Gemini system, a logic program that performs static reasoning over game specifications in order to find meaning [33].…”

Section: Tutorial Generationmentioning

confidence: 84%

Generating levels that teach mechanics

Green

Khalifa

Barros

et al. 2018

Proceedings of the 13th International Conference on the Foundations of Digital Games

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The automatic generation of game tutorials is a challenging AI problem. While it is possible to generate annotations and instructions that explain to the player how the game is played, this paper focuses on generating a gameplay experience that introduces the player to a game mechanic. It evolves small levels for the Mario AI Framework that can only be beaten by an agent that knows how to perform specific actions in the game. It uses variations of a perfect A* agent that are limited in various ways, such as not being able to jump high or see enemies, to test how failing to do certain actions can stop the player from beating the level.This section discusses frameworks and research relevant to our work. It starts with a description of the Mario AI framework, followed by a brief background on search based level generation and level generation for the Mario AI framework, and concluding with tutorials and tutorial generation. arXiv:1807.06734v4 [cs.AI] 1 Oct 2018 FDG18, August 7-10, 2018, Malmö, Sweden M. Green et al.

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“…Automated game design (AGD) is the science and engineering of AI systems that model, participate in or support the game design process. This can include systems which help users explore game designs (Guzdial et al 2019;Charity, Khalifa, and Togelius 2020); models of game design theories or frameworks (Togelius and Schmidhuber 2008;Barros et al 2019); and autonomous game-designing systems (Khalifa et al 2019;Summerville et al 2019). It is still an emerging field with no concrete definition, but is becoming increasingly important as artificial intelligence is integrated into more development tools, and the study of computational creativity grows.…”

Section: Introductionmentioning

confidence: 99%

Puck: A Slow and Personal Automated Game Designer

Cook¹

2022

AIIDE

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In this paper we introduce Puck, a new automated game design system which combines continuous creativity with an exhaustive approach to content generation. We explain the motivation behind Puck, and in particular its focus on users and small communities. Puck is, to our knowledge, the first automated game designer that can be downloaded and individualise itself through testing and design. We then describe the engineering and structure of the system, detail some initial outputs and evaluation of the system, and future work.

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From Mechanics to Meaning

Cited by 13 publications

References 13 publications

AtDELFI

AtDELFI

Generating levels that teach mechanics

Puck: A Slow and Personal Automated Game Designer

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