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  • Narrative Causal Impetus: Situational Governance in Game of Thrones

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    Cardier525156-Accepted.pdf (1.798Mb)
    File version
    Accepted Manuscript (AM)
    Author(s)
    Cardier, Beth
    Griffith University Author(s)
    Cardier, Beth
    Year published
    2014
    Metadata
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    Abstract
    As a story unfolds, it constructs a depiction of events, and at the same time, it also builds conceptual structure at a higher, interpretive level. This higher-level structure provides the terms for understanding the unfolding story, indicating what kinds of features and consequences characterize it – a story ontology. The process by which a tale constructs a story ontology is not straightforward, and in many ways is just as complex as the action at the event level. It involves an interaction between inferred situations and contexts, each with their own networks of terms and structures, which jostle for dominance. I refer ...
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    As a story unfolds, it constructs a depiction of events, and at the same time, it also builds conceptual structure at a higher, interpretive level. This higher-level structure provides the terms for understanding the unfolding story, indicating what kinds of features and consequences characterize it – a story ontology. The process by which a tale constructs a story ontology is not straightforward, and in many ways is just as complex as the action at the event level. It involves an interaction between inferred situations and contexts, each with their own networks of terms and structures, which jostle for dominance. I refer to this interaction as governance. In this work, I demonstrate an example of governance at both levels, using a scene from the series Game of Thrones. When the interpretive terms of a story emerge, an understanding of what kinds of events might come next – the possible causal implications – are also conveyed, even if they are unexpected.
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    Conference Title
    Seventh Intelligent Narrative Technologies Workshop
    Publisher URI
    https://www.aaai.org/ocs/index.php/INT/INT7/paper/view/9238
    Copyright Statement
    © 2014 AAAI Press. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher. Please refer to the conference's website for access to the definitive, published version.
    Subject
    Creative and professional writing
    Artificial intelligence
    Cognitive and computational psychology
    Publication URI
    http://hdl.handle.net/10072/410647
    Collection
    • Conference outputs

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