Procedural Content Generation using Artificial Intelligence for Unique Virtual Reality Game Experiences
João P. Campos, Rafael Rieder · 2019
The aim of this study is to define and develop a procedural content generation method based on Artificial Intelligence for immersive games. We investigated the use of procedural content generation techniques based on agents and decision trees, applying it to a virtual reality game design using Unreal. In this context, it is possible to offer a unique game experience for each user, considering personal decisions during the interaction process.