AtDelfi: Automatically Designing Legible, Full Instructions For Games

July 11, 2018 Β· Declared Dead Β· πŸ› International Conference on Foundations of Digital Games

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Authors Michael Cerny Green, Ahmed Khalifa, Gabriella A. B. Barros, Tiago Machado, Andy Nealen, Julian Togelius arXiv ID 1807.04375 Category cs.AI: Artificial Intelligence Citations 26 Venue International Conference on Foundations of Digital Games Last Checked 4 months ago
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.
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