Let Us Tell You a fAIble: Content Generation through Graph-Based Cognition

In this work we present fAIble: a novel graph-based modular storytelling framework. fAIble is centered around a graph database, incorporates invariable elements of folktale structure, while accounting for thoughts and actions. Action outcomes are a product of probabilistic story generation. Probabilities are based on elements of common sense, invariable elements of folktale structure, high-level character roles, and a wide variety of other variables (e.g. characters' physical and psychological traits, context-based likelihood of encountering specific items and characters, etc.). A prototype implementation is tested through an anonymous questionnaire. Results demonstrate the ability of graph-based cognition to produce coherent story prototypes with sensible character actions, while maintaining output variability.