Abstract
Narrative planning is the process of generating sequences of actions that form coherent and goal-oriented narratives. Classical implementations of narrative planning rely on heuristic search techniques to offer structured story generation, but often struggle with scalability because of large branching factors and deep search requirements. To improve the speed of narrative planning, we introduce Fog of War Pruning, where actions are only allowed if they involve people, places, and things that the protagonist character has discovered. This pruning technique restricts the planning to what is known from the perspective of the story’s central character or characters, pruning branches of the search tree that involve actions beyond their current knowledge. This method is particularly useful in narratives where there is a strong protagonist focus and the story unfolds gradually as the character learns. This enables more efficient planning, while more closely aligning with how people would experience stories. Experiments across many narrative domains show that this technique speeds up the search process under identical search limits and lets the planner solve more unique problems.
| Original language | English |
|---|---|
| Pages (from-to) | 121-131 |
| Number of pages | 11 |
| Journal | Proceedings - AAAI Artificial Intelligence and Interactive Digital Entertainment Conference, AIIDE |
| Volume | 21 |
| Issue number | 1 |
| DOIs | |
| State | Published - 2025 |
| Event | 21st AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2025 - Edmonton, Canada Duration: Nov 10 2025 → Nov 14 2025 |
Bibliographical note
Publisher Copyright:© 2025, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
Funding
This material is based upon work supported by the U.S. National Science Foundation under Grant No. 2145153 and the U.S. Army Research Office under Grant No. W911NF-24-1-0195. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation or the Army Research Office.
| Funders | Funder number |
|---|---|
| National Science Foundation Arctic Social Science Program | 2145153 |
| Army Research Office | W911NF-24-1-0195 |
ASJC Scopus subject areas
- Software
- Human-Computer Interaction
- Computer Science Applications
- Computer Graphics and Computer-Aided Design
- Artificial Intelligence