(Genetically) Improving Novelty in Procedural Story Generation

TL;DR

This paper explores applying genetic improvement techniques to enhance grammar-based procedural story generation in browser games, aiming to create more engaging and unique narratives through evolutionary algorithms.

Contribution

It introduces a conceptual framework for integrating genetic improvement with grammar-driven procedural storytelling in browser-based games.

Findings

Proposes a novel approach combining genetic algorithms with narrative generation.

Lays out a conceptual procedure for applying genetic improvement to game stories.

Highlights potential for more engaging, diverse narratives in procedural game design.

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.