AtDelfi: Automatically Designing Legible, Full Instructions For Games
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Abstract (arXiv)
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.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 Jul 2018.
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Citing papers per year: 2021: 2; 2022: 2.
4 papers.
- 2021Automatic Generation of Board Game Manualscited by 2
- 2022Predicting Personas Using Mechanic Frequencies and Game State Tracescited by 2
- 2021Game Mechanic Alignment Theory and Discoverycited by 1
- 2022Persona-driven Dominant/Submissive Map (PDSM) Generation for Tutorialscited by 1
- 2022Persona-driven Dominant/Submissive Map (PDSM) Generation for Tutorials11 Apr 2022
- 2022Predicting Personas Using Mechanic Frequencies and Game State Traces24 Mar 2022
- 2021Automatic Generation of Board Game Manuals20 Sep 2021
- 2021Game Mechanic Alignment Theory and Discovery20 Feb 2021