Applying Narreme Theoretic Principles to an AI-Enabled Semiotic Action Structure

My project for the Elevate Fellowship aimed to develop the “Narreme Engine” application to assess the validity of “Narreme Theory” — a concept I devised during my PhD, positing that stories consist of atomic narrative units called Narremes, which combine into more complex “Compounds” to convey narratives over time. The Narreme Engine sought to apply Artificial Intelligence algorithms for story analysis and generation. As we explored the project’s theoretical framework, we realized broader implications. Recent advancements in AI-generated narratives highlighted that the Narreme Engine could contribute to an AI-enabled semiotic action structure (i.e. dialogue-driven stories) in a much broader sense. This proposed Accelerate project seeks to integrate these insights, resulting in an authoring tool aligned with Narreme Theoretic principles embedded within the structure of real-time storytelling software. The partner organization anticipates that their ongoing product development will benefit from improved application outputs relative to other emerging AI-based authoring platforms.

Faculty Supervisor:

Jamin Pelkey

Student:

Partner:

Transitional Forms

Discipline:

Sociology

Sector:

Information and cultural industries

University:

Toronto Metropolitan University

Program: