Year: 2024
Type: article
Abstract: In today's rapidly developing game industry, the demand for automated game design and evaluation tools is growing. This paper evaluates the formulas and concepts proposed in Cameron Browne and Frederic Maire's "Evolutionary Game Design" and explores their effectiveness and applicability in practical applications. The study focuses on the Ludi system, which uses evolutionary algorithms to generate and evaluate combinatorial games. Key aspects such as the game description language (GDL), the concept of ludemes, and the performance of evolutionary algorithms in game generation are analyzed. Limitations and future research directions are also discussed to provide valuable insights for the field of automated game design.
Author: Jiacheng Sun
Institution: University of California, Irvine
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4407775403