Games have become essential in advancing AI techniques and education. Various platforms offer diverse challenges for AI research, from single-player to multi-player games. Content generation, game tuning, and narrative creation are key areas explored in this comprehensive review.
The paper categorizes games into tabletop, video games, 2D/3D levels, narratives, rhythm charts, and card/board games. It highlights the importance of understanding game dynamics and utilizing AI techniques for content generation. The challenges posed by high-dimensional spaces in modern games are discussed along with the potential for future advancements in AI-involved game design.
Key findings include the availability of diverse platforms like GGP, Botzone, OpenSpiel for testing different types of games. Python emerges as a popular programming language across these platforms. Beginners are advised to start with 2D level generation using platforms like Mario-AI Framework or Procedural Zelda before exploring more complex content generation tasks.
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arxiv.org
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by Chengpeng Hu... at arxiv.org 03-06-2024
https://arxiv.org/pdf/2304.13269.pdfDeeper Inquiries