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General Statistical Approaches to Procedural Map Generation

2019-11-25 | |  46 |   34 |   0
Abstract Procedural content generation (PCG) studies the algorithmic creation of content (e.g., textures, maps), typically for games. PCG has become a popular research topic in recent years, but little has been done in terms of generalized content generators: approaches that can generate content for a variety of games without hand-tuning. We are interested in exploring statistical algorithms that could lead to generalized procedural map generators.

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