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Related Experiment Video

Updated: Jul 11, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework

Watershed Planning within a Quantitative Scenario Analysis Framework

Published on: July 24, 2016

Storytelling as Inverse Inverse Planning.

Kartik Chandra¹, Tzu-Mao Li², Joshua B Tenenbaum³

¹Department of Electrical Engineering and Computer Science, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology.

Topics in Cognitive Science

|November 14, 2023

Summary

This summary is machine-generated.

Storytelling is modeled as "probability design," where authors strategically reveal information to shape audience beliefs. This computational approach, inverse inverse planning, explains narrative elements like plot twists and character arcs.

Keywords:

Bayesian modeling Cognitive poetics Inverse planning Social cognition Storytelling Theory of mind

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Last Updated: Jul 11, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework

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Area of Science:

Cognitive Science
Computational Linguistics
Literary Theory

Background:

Storytelling engages audiences through evolving beliefs about fictional worlds.
Literary theorist Karin Kukkonen defines storytelling as "probability design."

Purpose of the Study:

To computationally model storytelling as probability design.
To explore inverse inverse planning as a framework for understanding narrative construction.

Main Methods:

Utilized a Bayesian inverse planning model from human social cognition.
Developed an inverse inverse planner to simulate storytelling processes.
Conducted behavioral studies comparing inverse inverse planning with naïve planning.

Main Results:

Inverse inverse planning demonstrated more expressive behavior than naïve planning in simulations.
The model successfully accounts for core storytelling elements such as character, plot twists, and narrative arcs.
Probability design naturally encodes narrative complexity through sequential information release.

Conclusions:

Storytelling can be understood as the strategic manipulation of audience inferences via probability design.
Inverse inverse planning provides a robust computational framework for analyzing narrative structure and effect.
This approach offers new insights into the cognitive underpinnings of engaging fictional experiences.