Procedural Content Generation using Artificial Intelligence for Unique Virtual Reality Game Experiences
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PubDate: December 2019
Teams: University of Passo Fundo
Writers: João Pedro Assunção Campos; Rafael Rieder
Abstract
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.
