A Probabilistic Grammar for Procedural Content Generation
Francesco Sportelli, Giuseppe Toto, Gennaro Vessio · CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro) · 2014
In game development, procedural content generation (PCG) is an important area of research that aims at generating content algorithmically rather than manually. This paper shows the successful application of a probabilistic grammar in order to procedurally generate a game environment at run-time. The proposed approach helps saving memory, reduces development effort and increases longevity.