Salience as a Narrative Planning Step Cost Function

Stephen G. Ware, Rachelyn Farrell

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Psychological research has demonstrated that as we experience a story several features affect the salience of its events in memory. These features correspond to who? where? when? how? and why? questions about those events. Computational models of salience have been used in interactive narratives to measure which events people most easily remember from the past and which they expect more readily from the future. We use three example domains to show that events in sequences that are solutions to narrative planning problems are generally more salient with each other, and events in non-solution sequences are less salient with each other. This means that measuring the salience of a sequence of actions during planning can serve as an efficient cost function to improve the speed, and perhaps also the quality, of a narrative planner.

Original languageEnglish
Title of host publication2022 IEEE Conference on Games, CoG 2022
Number of pages8
ISBN (Electronic)9781665459891
StatePublished - 2022
Event2022 IEEE Conference on Games, CoG 2022 - Beijing, China
Duration: Aug 21 2022Aug 24 2022

Publication series

NameIEEE Conference on Computatonal Intelligence and Games, CIG
ISSN (Print)2325-4270
ISSN (Electronic)2325-4289


Conference2022 IEEE Conference on Games, CoG 2022

Bibliographical note

Funding Information:
This research was supported by the U.S. National Science Foundation, Grant No. IIS-1911053. All opinions are our own.

Publisher Copyright:
© 2022 IEEE.


  • narrative
  • planning
  • salience
  • search

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Software


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