Abstract
What characters believe, how they act based on those beliefs, and how their beliefs are updated is an essential element of many stories. State-space narrative planning algorithms treat their search spaces like a set of temporally possible worlds. We present an extension that models character beliefs as epistemically possible worlds and describe how such a space is generated. We also present the results of an experiment which demonstrates that the model meets the expectations of a human audience.
| Original language | English |
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| Title of host publication | Proceedings of the 13th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2017 |
| Pages | 101-107 |
| Number of pages | 7 |
| ISBN (Electronic) | 9781577357919 |
| State | Published - 2017 |
| Event | 13th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2017 - Snowbird, Little Cottonwood Canyon, United States Duration: Oct 5 2017 → Oct 9 2017 |
Publication series
| Name | Proceedings of the 13th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2017 |
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Conference
| Conference | 13th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE 2017 |
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| Country/Territory | United States |
| City | Snowbird, Little Cottonwood Canyon |
| Period | 10/5/17 → 10/9/17 |
Bibliographical note
Funding Information:This research was supported by NSF award IIS-1647427.
Publisher Copyright:
Copyright © 2017, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
ASJC Scopus subject areas
- Visual Arts and Performing Arts
- Artificial Intelligence