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

Abstract

In this work we present fAlble: 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.

Publication Date

1-1-2018

Publication Title

Proceedings of the 31st International Florida Artificial Intelligence Research Society Conference, FLAIRS 2018

Number of Pages

282-287

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

85059602728 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/85059602728

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