Terrain Generation from User Text using Cellular Automata

Abstract

Last decade has been witnessed for the dramatic advancement in computer games. Latest studies shows that procedurally generated content makes the players remain engaged for a long time. Incorporating the user's preferences and creativity in the games is still a challenging task. In this paper, we focus on the diversity of terrain generation in terms of its components. Personalization of user experience via effective modeling, combined with real-time adjustment of the content helps for meaningful content generation. Our engine accepts input from the user in Terrain development language (TDL).The user has to specify the type and features of the terrain. The engine extracts features through Terrain Development Algorithm (TDA) and generates individual components according to the information. The end result is to provide a user skill-matched terrain, which can be rendered for various games.