AIIDE Artifact Archive

ASP Narrative Planners for Measuring Solution Density

Date Archived: 19 October 2020
Accompanying Paper: A Good Story Is One in a Million: Solution Density in Narrative Generation Problems
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Narrative generation algorithms fall on a spectrum from strong autonomy, where each character is implemented as a fully autonomous agent, to strong story, where a central agent guides all character behavior. This project compares four different approaches to narrative generation: multi-agent systems, drama managers, narrative planners, and classical planners. Each of these approaches has a different definition of what counts as a solution to the story generation problem. This project developed Answer Set Programs to generated all possible solutions for each of the above systems and compare them. We are interested to know, for example, how often a classical planner generates stories that also could have been generated by a multi-agent system, and vice versa.

How to Cite This Artifact

The examples below show how to cite this page, but when referring to this work, many authors will prefer that you cite the accompanying paper linked above.

AAAI Style
Siler, C.; and Ware, S. G. 2020. ASP Narrative Planners for Measuring Solution Density. Accessed 23 July 2024.
IEEE Style
C. Siler, and S. G. Ware, "ASP Narrative Planners for Measuring Solution Density," 2020. [Online]. Available: [Accessed Jul 23, 2024].
BiBTeX Entry
	author={Siler, Cory and Ware, Stephen G.},
	title={ASP Narrative Planners for Measuring Solution Density},
	note={Accessed 23 July 2024}