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Documents authored by Young, R. Michael

Document
DOI: 10.4230/OASIcs.CMN.2016.9
Summarizing and Comparing Story Plans

Authors: Adam Amos-Binks, David L. Roberts, and R. Michael Young

Published in: OASIcs, Volume 53, 7th Workshop on Computational Models of Narrative (CMN 2016)

Abstract
Branching story games have gained popularity for creating unique playing experiences by adapting story content in response to user actions. Research in interactive narrative (IN) uses automated planning to generate story plans for a given story problem. However, a story planner can generate multiple story plan solutions, all of which equally-satisfy the story problem definition but contain different story content. These differences in story content are key to understanding the story branches in a story problem's solution space, however we lack narrative-theoretic metrics to compare story plans. We address this gap by first defining a story plan summarization model to capture the important story semantics from a story plan. Secondly, we define a story plan comparison metric that compares story plans based on the summarization model. Using the Glaive narrative planner and a simple story problem, we demonstrate the usefulness of using the summarization model and distance metric to characterize the different story branches in a story problem's solution space.
Cite as

Adam Amos-Binks, David L. Roberts, and R. Michael Young. Summarizing and Comparing Story Plans. In 7th Workshop on Computational Models of Narrative (CMN 2016). Open Access Series in Informatics (OASIcs), Volume 53, pp. 9:1-9:16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)

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@InProceedings{amosbinks_et_al:OASIcs.CMN.2016.9,
  author =	{Amos-Binks, Adam and Roberts, David L. and Young, R. Michael},
  title =	{{Summarizing and Comparing Story Plans}},
  booktitle =	{7th Workshop on Computational Models of Narrative (CMN 2016)},
  pages =	{9:1--9:16},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-020-0},
  ISSN =	{2190-6807},
  year =	{2016},
  volume =	{53},
  editor =	{Miller, Ben and Lieto, Antonio and Ronfard, R\'{e}mi and Ware, Stephen G. and Finlayson, Mark A.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2016.9},
  URN =		{urn:nbn:de:0030-drops-67100},
  doi =		{10.4230/OASIcs.CMN.2016.9},
  annote =	{Keywords: artifical intelligence, planning, narrative, comparison, story}
}
Document
DOI: 10.4230/OASIcs.CMN.2015.45
Impulse: a Formal Characterization of Story

Authors: Markus Eger, Camille Barot, and R. Michael Young

Published in: OASIcs, Volume 45, 6th Workshop on Computational Models of Narrative (CMN 2015)

Abstract
We present a novel representation of narratives at the story level called Impulse. It combines a temporal representation of a story’s actions and events with a representation of the mental models of the story’s characters into a cohesive, logic-based language. We show the expressiveness of this approach by encoding a story fragment, and compare it to other formal story representations in terms of representational dimensions. We also acknowledge the computational complexity of our approach and argue that a restricted subset still provides a high degree of expressive power
Cite as

Markus Eger, Camille Barot, and R. Michael Young. Impulse: a Formal Characterization of Story. In 6th Workshop on Computational Models of Narrative (CMN 2015). Open Access Series in Informatics (OASIcs), Volume 45, pp. 45-53, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2015)

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@InProceedings{eger_et_al:OASIcs.CMN.2015.45,
  author =	{Eger, Markus and Barot, Camille and Young, R. Michael},
  title =	{{Impulse: a Formal Characterization of Story}},
  booktitle =	{6th Workshop on Computational Models of Narrative (CMN 2015)},
  pages =	{45--53},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-93-4},
  ISSN =	{2190-6807},
  year =	{2015},
  volume =	{45},
  editor =	{Finlayson, Mark A. and Miller, Ben and Lieto, Antonio and Ronfard, Remi},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2015.45},
  URN =		{urn:nbn:de:0030-drops-52800},
  doi =		{10.4230/OASIcs.CMN.2015.45},
  annote =	{Keywords: Narrative, logic, representation, mental models, time}
}
Document
DOI: 10.4230/OASIcs.CMN.2015.152
Good Timing for Computational Models of Narrative Discourse

Authors: David R. Winer, Adam A. Amos-Binks, Camille Barot, and R. Michael Young

Published in: OASIcs, Volume 45, 6th Workshop on Computational Models of Narrative (CMN 2015)

Abstract
The temporal order in which story events are presented in discourse can greatly impact how readers experience narrative; however, it remains unclear how narrative systems can leverage temporal order to affect comprehension and experience. We define structural properties of discourse which provide a basis for computational narratologists to reason about good timing, such as when readers learn about event relationships.
Cite as

David R. Winer, Adam A. Amos-Binks, Camille Barot, and R. Michael Young. Good Timing for Computational Models of Narrative Discourse. In 6th Workshop on Computational Models of Narrative (CMN 2015). Open Access Series in Informatics (OASIcs), Volume 45, pp. 152-156, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2015)

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@InProceedings{winer_et_al:OASIcs.CMN.2015.152,
  author =	{Winer, David R. and Amos-Binks, Adam A. and Barot, Camille and Young, R. Michael},
  title =	{{Good Timing for Computational Models of Narrative Discourse}},
  booktitle =	{6th Workshop on Computational Models of Narrative (CMN 2015)},
  pages =	{152--156},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-93-4},
  ISSN =	{2190-6807},
  year =	{2015},
  volume =	{45},
  editor =	{Finlayson, Mark A. and Miller, Ben and Lieto, Antonio and Ronfard, Remi},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2015.152},
  URN =		{urn:nbn:de:0030-drops-52897},
  doi =		{10.4230/OASIcs.CMN.2015.152},
  annote =	{Keywords: causal inference, narrative, discourse structure, computational model}
}
Document
DOI: 10.4230/OASIcs.CMN.2013.4
CB-POCL: A Choice-Based Algorithm for Character Personality in Planning-based Narrative Generation

Authors: Julio César Bahamón and R. Michael Young

Published in: OASIcs, Volume 32, 2013 Workshop on Computational Models of Narrative

Abstract
The quality and believability of a story can be significantly enhanced by the presence of compelling characters. Characters can be made more compelling by the portrayal of a distinguishable personality. This paper presents an algorithm that formalizes an approach previously described for the incorporation of character personality in narrative that is automatically generated. The approach is based on a computational model that operationalizes personality as behavior that results from the choices made by characters in the course of a story. This operationalization is based on the Big Five personality structure and results from behavioral psychology studies that link behavior to personality traits.
Cite as

Julio César Bahamón and R. Michael Young. CB-POCL: A Choice-Based Algorithm for Character Personality in Planning-based Narrative Generation. In 2013 Workshop on Computational Models of Narrative. Open Access Series in Informatics (OASIcs), Volume 32, pp. 4-23, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2013)

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@InProceedings{bahamon_et_al:OASIcs.CMN.2013.4,
  author =	{Baham\'{o}n, Julio C\'{e}sar and Young, R. Michael},
  title =	{{CB-POCL: A Choice-Based Algorithm for Character Personality in Planning-based Narrative Generation}},
  booktitle =	{2013 Workshop on Computational Models of Narrative},
  pages =	{4--23},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-939897-57-6},
  ISSN =	{2190-6807},
  year =	{2013},
  volume =	{32},
  editor =	{Finlayson, Mark A. and Fisseni, Bernhard and L\"{o}we, Benedikt and Meister, Jan Christoph},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.CMN.2013.4},
  URN =		{urn:nbn:de:0030-drops-41601},
  doi =		{10.4230/OASIcs.CMN.2013.4},
  annote =	{Keywords: Artificial Intelligence, Planning, Narrative Generation}
}
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