@inproceedings{d8c7b3baa0e244e0b267f0dd89b2270f,
title = "AtDELFI: Automatically designing legible, full instructions for games",
abstract = "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.",
keywords = "Artificial intelligence, Procedural content generation, Tutorial, Video game",
author = "Green, {Michael Cerny} and Ahmed Khalifa and Barros, {Gabriella A.B.} and Tiago Machado and Andy Nealen and Julian Togelius",
note = "Publisher Copyright: {\textcopyright} 2018 ACM.; 13th International Conference on the Foundations of Digital Games, FDG 2018 ; Conference date: 07-08-2018 Through 10-08-2018",
year = "2018",
month = aug,
day = "7",
doi = "10.1145/3235765.3235790",
language = "English (US)",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
editor = "Sebastian Deterding and Mitu Khandaker and Sebastian Risi and Jose Font and Steve Dahlskog and Christoph Salge and Olsson, {Carl Magnus}",
booktitle = "Proceedings of the 13th International Conference on the Foundations of Digital Games, FDG 2018",
}