A Rules-Based System for Adapting and Transforming Existing Narratives

This paper describes a rules-based computational system that utilizes a semantic framework to produce transformations of an existing narrative. We describe how we can use a Rete rules system to transform a semantic representation of a narrative, as well as laying out groundwork for the types of rules that a system like this would consider. To provide an example of our system in action, we describe a semantic encoding of the Brothers Grimm version of Sleeping Beauty, and provide rules for transforming it to fit the style of Disney.