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arXiv · 1604.05791

Procedural urban environments for FPS games

Jan Kruse·Ricardo Sosa·Andy M. Connor
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Abstract

This paper presents a novel approach to procedural generation of urban maps for First Person Shooter (FPS) games. A multi-agent evolutionary system is employed to place streets, buildings and other items inside the Unity3D game engine, resulting in playable video game levels. A computational agent is trained using machine learning techniques to capture the intent of the game designer as part of the multi-agent system, and to enable a semi-automated aesthetic selection for the underlying genetic algorithm.

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Jan Kruse, Ricardo Sosa, Andy M. Connor. 2016-04-20. Procedural urban environments for FPS games. https://doi.org/10.1145/2843043.2843479

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