Tesi di laurea magistrale / Informatica
Active Inference for Affective and Narrative Interaction: SEPHIROT® as a Computational Framework for Human-AI Co-Creation
La tesi studia la continuazione narrativa come processo decisionale in condizioni di incertezza. Attraverso SEPHIROT® e il caso circoscritto de La Volpe e il Corvo, esamina come l'Active Inference possa sostenere l'agency dei partecipanti rispettando vincoli narrativi definiti dall'autore.
Il lavoro sviluppa un approccio computazionale ispezionabile al controllo narrativo, supportato da diagnostiche e interazioni registrate con i partecipanti. Individua inoltre questioni aperte nell'apprendimento delle strutture drammaturgiche e nella valutazione del loro contributo alla co-creazione tra persone e IA.
Leggi l'abstract in inglese
Interactive narrative systems face the challenge of reconciling participant agency with authorial intention, particularly when human interventions depart from anticipated story paths. This thesis investigates whether Active Inference can provide a computational foundation for adaptive narrative control by framing narrative continuation as decision-making under uncertainty.
The research explores the relationship between computational narratology, generative models, and Expected Free Energy minimization, examining how learned event predictions and inferred latent states can contribute to the evaluation of narrative continuations within author-defined constraints.
A computational architecture is developed and examined through SEPHIROT®, a framework for participatory storytelling, using The Fox and the Crow as a bounded case study. The implementation integrates probabilistic inference, narrative-state representation, and validated continuation selection, supported by computational diagnostics and recorded participant interactions.
The thesis establishes an inspectable approach to inferential narrative control while identifying the conceptual and empirical challenges that remain in learning dramaturgical structures and evaluating their contribution to human–AI co-creation.
Parole chiave: Active Inference; narratologia computazionale; narrativa interattiva; controllo narrativo; Expected Free Energy; co-creazione tra persone e IA.
Citazione: Anglani, Alessandro. Active Inference for Affective and Narrative Interaction: SEPHIROT® as a Computational Framework for Human-AI Co-Creation. Laurea Magistrale in Informatica, anno accademico 2025–2026.
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