Automated Game Design via Conceptual Expansion
Automated game design has remained a key challenge within the field of Game AI. In this paper, we introduce a method for recombining existing games to create new games through a process called conceptual expansion. Prior automated game design approaches have relied on hand-authored or crowd-sourced knowledge, which limits the scope and applications of such systems. Our approach instead relies on machine learning to learn approximate representations of games. Our approach recombines knowledge from these learned representations to create new games via conceptual expansion. We evaluate this approach by demonstrating the ability for the system to recreate existing games. To the best of our knowledge, this represents the first machine learning-based automated game design system.Citation
M. Guzdial, M. Riedl. "Automated Game Design via Conceptual Expansion". Artificial Intelligence and Interactive Entertainment Conference (AIIDE), (ed: Jonathan P. Rowe, Gillian Smith), pp 31-37, November 2018.| Keywords: | |
| Category: | In Conference |
| Web Links: | AAAI |
BibTeX
@incollection{Guzdial+Riedl:AIIDE18,
author = {Matthew Guzdial and Mark Riedl},
title = {Automated Game Design via Conceptual Expansion},
Editor = {Jonathan P. Rowe, Gillian Smith},
Pages = {31-37},
booktitle = {Artificial Intelligence and Interactive Entertainment Conference
(AIIDE)},
year = 2018,
}Last Updated: October 29, 2020Submitted by Sabina P
