Procedural Generation of Angry Birds Levels using Building Constructive Grammar with Chinese-Style and/or Japanese-Style Models
YuXuan Jiang, Misaki Kaidan, Chun Yin Chu, Tomohiro Harada, and Ruck, Thawonmas

TL;DR
This paper introduces a novel procedural generation method for creating visually appealing Angry Birds levels using Chinese and Japanese architectural styles, validated through statistically significant experiments.
Contribution
It presents a new approach leveraging Chinese and Japanese building styles for procedural level generation in Angry Birds, enhancing visual diversity.
Findings
The method produces visually attractive levels.
Experimental results show statistical significance.
Approach effectively incorporates cultural architectural styles.
Abstract
This paper presents a procedural generation method that creates visually attractive levels for the Angry Birds game. Besides being an immensely popular mobile game, Angry Birds has recently become a test bed for various artificial intelligence technologies. We propose a new approach for procedurally generating Angry Birds levels using Chinese style and Japanese style building structures. A conducted experiment confirms the effectiveness of our approach with statistical significance.
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Taxonomy
TopicsArtificial Intelligence in Games · Video Analysis and Summarization · Evolutionary Algorithms and Applications
