Survey on procedural game generation

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Procedural content generation (PCG) is one of the most important fields of research in videogame industry. PCG allows creating different parts of games automatically; an interesting task of PCG is generating game rules and even whole games. In this paper, we present an overview of research in this field; algorithms from evolutionary computation and logic programming fields that can be used to generate game rules and games in different genres are described, as well as methods of evaluating the resulting games. We briefly describe general game-playing programs and the PCG systems that were used in them. Several representations and description languages utilized in PCG systems to encode game rules are also described.

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Procedural content generation, game design, general game playing, artificial intelligence

Короткий адрес: https://sciup.org/147160555

IDR: 147160555   |   DOI: 10.14529/cmse150101

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