157 research outputs found
Interactive Evolution and Exploration within Latent Level-Design Space of Generative Adversarial Networks
Generative Adversarial Networks (GANs) are an emerging form of indirect
encoding. The GAN is trained to induce a latent space on training data, and a
real-valued evolutionary algorithm can search that latent space. Such Latent
Variable Evolution (LVE) has recently been applied to game levels. However, it
is hard for objective scores to capture level features that are appealing to
players. Therefore, this paper introduces a tool for interactive LVE of
tile-based levels for games. The tool also allows for direct exploration of the
latent dimensions, and allows users to play discovered levels. The tool works
for a variety of GAN models trained for both Super Mario Bros. and The Legend
of Zelda, and is easily generalizable to other games. A user study shows that
both the evolution and latent space exploration features are appreciated, with
a slight preference for direct exploration, but combining these features allows
users to discover even better levels. User feedback also indicates how this
system could eventually grow into a commercial design tool, with the addition
of a few enhancements.Comment: GECCO 202
AtDelfi: Automatically Designing Legible, Full Instructions For Games
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.Comment: 10 pages, 11 figures, published at Foundations of Digital Games
Conference 201
- …