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Documents authored by Amos-Binks, Adam

Found 2 Possible Name Variants:

Amos-Binks, Adam A.

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-dev.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}
}

Amos-Binks, Adam

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)

Copy BibTex To Clipboard

@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}
}
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