Abstract
Sabre is a narrative planner-a centralized, omniscient decision maker that solves a multi-agent storytelling problem. The planner has an author goal it must achieve, but every action taken by an agent must make sense according to that agent's individual intentions and limited, possibly wrong beliefs. This paper describes the implementation of Sabre, which supports a rich action syntax and imposes no arbitrary limit on the depth of theory of mind. We present a search procedure for generating plans that achieve the author goals while ensuring all agent actions are explained, and we report the system's performance on several narrative planning benchmark problems.
| Original language | English |
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| Title of host publication | 17th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2021 |
| Pages | 99-106 |
| Number of pages | 8 |
| ISBN (Electronic) | 9781713844730 |
| DOIs | |
| State | Published - 2021 |
| Event | 17th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2021 - Virtual, Online Duration: Oct 11 2021 → Oct 15 2021 |
Publication series
| Name | 17th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2021 |
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Conference
| Conference | 17th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2021 |
|---|---|
| City | Virtual, Online |
| Period | 10/11/21 → 10/15/21 |
Bibliographical note
Publisher Copyright:Copyright © 2021, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
ASJC Scopus subject areas
- Visual Arts and Performing Arts
- Artificial Intelligence