Shadow-Loom: Causal Reasoning over Graphical World Models of Narratives
Stories hold a reader's attention because they have causes, secrets, and consequences. Shadow-Loom is an experimental open-source framework that turns a narrative into a versioned graphical world model and lets two engines act on it: a causal physics grounded in Pearl's ladder of causation and a recently proposed counterfactual calculus over Ancestral Multi-World Networks; and a narrative physics that scores the same graph against four structural reader-states -- mystery, dramatic irony, suspense, and surprise -- in the tradition of Sternberg's curiosity/suspense/surprise triad, with suspense formalised in the structural-affect line of work on story comprehension and computational suspens...
| Authors | David Wilmot |
|---|---|
| Primary category | cs.AI |
| Published | 4 May 2026 |
| Last updated at source | 6 May 2026 |
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