An Integrated Framework for AI Assisted Level Design in 2D Platformers
Abstract
The design of video game levels is a complex and critical task. Levels need to elicit fun and challenge while avoiding frustration at all costs. In this paper, we present a framework to assist designers in the creation of levels for 2D platformers. Our framework provides designers with a toolbox (i) to create 2D platformer levels, (ii) to estimate the difficulty and probability of success of single jump actions (the main mechanics of platformer games), and (iii) a set of metrics to evaluate the difficulty and probability of completion of entire levels. At the end, we present the results of a set of experiments we carried out with human players to validate the metrics included in our framework.
Cite
@article{arxiv.1804.09153,
title = {An Integrated Framework for AI Assisted Level Design in 2D Platformers},
author = {Antonio Umberto Aramini and Pier Luca Lanzi and Daniele Loiacono},
journal= {arXiv preprint arXiv:1804.09153},
year = {2018}
}
Comments
Submitted to the IEEE Game Entertainment and Media Conference 2018