Procedural Generation of Game Levels and Maps: A Review

Tianhan Gao, Jin Zhang, Qingwei Mi

Abstract: So far, physical labor has ensured that the quality and quantity of game content match the needs of the game community. However, due to the exponential growth of gaming population and production costs in the past decade, it is facing new scalability challenges. Procedural Content Generation (PCG) can meet these challenges by generating game content in a fully autonomous or hybrid-led manner. Game level and map generation is a sub-field of PCG. In this paper, we summarize the ideas and main processes of the procedural generation methods of game levels and maps for racing games, platform games, and open world games, analyze the current development. Finally, we conclude the cognition and prospects of the procedural generation of game levels and maps.