(Genetically) Improving Novelty in Procedural Story Generation

Abstract

Procedural story generation (PCG) tailors a unique narrative experience for a player and can be accomplished via multiple techniques, from matching storylets to grammar-based generation. There exists a rich opportunity for evolutionary algorithms to be applied to this domain for intelligently constructing game narratives. This paper describes a conceptual procedure for applying genetic improvement to a grammar-driven procedural narrative within the context of a browser-based game.