The Story So Far on Narrative Planning
Publication
, Conference
Cardona-Rivera, RE; Jhala, A; Porteous, J; Young, RM
Published in: Proceedings International Conference on Automated Planning and Scheduling Icaps
May 30, 2024
Narrative planning is the use of automated planning to construct, communicate, and understand stories, a form of information to which human cognition and enaction is predisposed. We review the narrative planning problem in a manner suitable as an introduction to the area, survey different plan-based methodologies and affordances for reasoning about narrative, and discuss open challenges relevant to the broader AI community.
Duke Scholars
Published In
Proceedings International Conference on Automated Planning and Scheduling Icaps
DOI
EISSN
2334-0843
ISSN
2334-0835
Publication Date
May 30, 2024
Volume
34
Start / End Page
489 / 499
Citation
APA
Chicago
ICMJE
MLA
NLM
Cardona-Rivera, R. E., Jhala, A., Porteous, J., & Young, R. M. (2024). The Story So Far on Narrative Planning. In Proceedings International Conference on Automated Planning and Scheduling Icaps (Vol. 34, pp. 489–499). https://doi.org/10.1609/icaps.v34i1.31509
Cardona-Rivera, R. E., A. Jhala, J. Porteous, and R. M. Young. “The Story So Far on Narrative Planning.” In Proceedings International Conference on Automated Planning and Scheduling Icaps, 34:489–99, 2024. https://doi.org/10.1609/icaps.v34i1.31509.
Cardona-Rivera RE, Jhala A, Porteous J, Young RM. The Story So Far on Narrative Planning. In: Proceedings International Conference on Automated Planning and Scheduling Icaps. 2024. p. 489–99.
Cardona-Rivera, R. E., et al. “The Story So Far on Narrative Planning.” Proceedings International Conference on Automated Planning and Scheduling Icaps, vol. 34, 2024, pp. 489–99. Scopus, doi:10.1609/icaps.v34i1.31509.
Cardona-Rivera RE, Jhala A, Porteous J, Young RM. The Story So Far on Narrative Planning. Proceedings International Conference on Automated Planning and Scheduling Icaps. 2024. p. 489–499.
Published In
Proceedings International Conference on Automated Planning and Scheduling Icaps
DOI
EISSN
2334-0843
ISSN
2334-0835
Publication Date
May 30, 2024
Volume
34
Start / End Page
489 / 499