Narratology & AI
Latent Arcs
Exploring the weights, measures, and latent arcs of synthetic storytelling.
Exploring the weights, measures, and latent arcs of synthetic storytelling.
James Meehan's pioneering system used goal-based planning. Characters like Joe Bear had needs (hunger) and logical constraints.
Rafael Pérez y Pérez introduced the engagement-reflection cycle, moving toward emotional tension and narrative interest.
Nick Montfort's procedural world-building. Small, elegant code that generates a vast, minute-by-minute narrative of a global day.
Large Language Models navigate the high-dimensional probability space of human text, predicting the most "likely" story arc.
How do folkloric structures map onto modern quirky arcs? Select a shape to visualize the intersection.
"Literary engagement in the AI era is shifting from the Structural Archetype to the Affective Entropy of the latent space."
Traditional narratology (Propp, Campbell) relies on fixed sequences of high-level features. AI, however, operates on micro-patterns of emotional engagement (emo-engagement). The user no longer consumes a sequence; they navigate a mediated process.
Transmedial evolution occurs when the AI acts as a lens, transforming a core 'seed' (like StimVerse) into infinite audio-visual and interactive iterations. The 'story' is the transformation itself.
From a 22k-word human "seed" prompt, AI architectures a world without characters. The Laesa Z-series is a neurological doctrine, an implant that mediates not just sight, but consciousness itself.
This represents the current horizon of Mediated Processes. We use generic LLMs not as simple generators, but as tools for nuanced literary defiance that transcends structural boundaries.
"Act not. Stim in. Feel all."
Laesa Z-series Z1... initializing telemetry... status: PURE AFFECT.
Visit StimVerses to explore the full depth of this transmedial inquiry.
