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Cited by 9Artificial Intelligence in GamesNarrative Theory and AnalysisMedia Influence and Health

Predicting User Choices in Interactive Narratives Using Indexter’s Pairwise Event Salience Hypothesis

Farrell, Rachelyn, Ware, Stephen G.·2016·Lecture Notes in Computer Science
DOI 10.1007/978-3-319-48279-8_13
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  • The Markov assumption limits story graph systems because different histories reaching the same state can imply different future actions.

    “The Markov assumption is a limitation for story graph systems, because different actions leading to the same state can suggest very different future actions (Farrell and Ware 2016).”

    From Multiagent Narrative Experience Management as Story Graph Pruning (2023) · cites this paper as Farrell and Ware 2016

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Authors
Farrell, R., & Ware, S. G.
Affiliations
LSU New Orleans (US)
Corresponding author
Farrell, Rachelyn
ORCID
Venue
Lecture Notes in Computer Science
Publisher
Springer International Publishing
Published
2016
Pages
147-155
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
DOI
10.1007/978-3-319-48279-8_13
OpenAlex
W2537040724
Cited by
9
References
0
Citations by year
2023: 1 · 2022: 1 · 2021: 1 · 2019: 2 · 2018: 3 · 2017: 1
FWCI
1.08
Type
conference paper
Language
en
Open access
closed
Licence
Locations
  • Lecture notes in computer science (publishedVersion)
  • ScholarWorks @ The University of New Orleans (The University of New Orleans) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence in Games
  • Social Sciences › Arts and Humanities › Literature and Literary Theory › Narrative Theory and Analysis
  • Social Sciences › Arts and Humanities › Literature and Literary Theory › Media Influence and Health
Keywords
interactive storytelling, event recall

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