2007
DOI: 10.1080/08839510701526574
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A Computational Model of an Intelligent Narrator for Interactive Narratives

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Cited by 53 publications
(76 citation statements)
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References 24 publications
(31 reference statements)
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“…There exists no consensus on how the algorithms of these systems should be classified: plot-based vs character-based, planning vs modular [10], coarse grain vs fine grain [24]. However it is usually admitted that the more generative the algorithm, the more potential for user influence on the story, but the more difficult it is to create an interesting narrative.…”
Section: Interactive Drama Systems As State-based Enginesmentioning
confidence: 99%
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“…There exists no consensus on how the algorithms of these systems should be classified: plot-based vs character-based, planning vs modular [10], coarse grain vs fine grain [24]. However it is usually admitted that the more generative the algorithm, the more potential for user influence on the story, but the more difficult it is to create an interesting narrative.…”
Section: Interactive Drama Systems As State-based Enginesmentioning
confidence: 99%
“…This is a hard challenge, because it involves both the dynamic generation of narrative events and the integration of user inputs within the generation. In interactive dramas such as Façade [11,12], The Mutiny (written with IDtension) [24] or The Balance of Power (written with Storytron) [22], the user can not only wander in space, use objects and choose among pre-written sentences, as in commercial adventure games, but is also given the possibility of interacting with other characters in the story. The user can, for example, encourage other characters to perform actions, help them, accept or refuse aid, condemn their actions, inform others about past or possible actions, etc.…”
Section: Interactive Drama Systems As State-based Enginesmentioning
confidence: 99%
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“…It is highly dependent on applications. In our current research, reasoning is performed by a central narrative engine [12], but other applications could use AI-based agent architectures.…”
Section: The Behavioural Levelmentioning
confidence: 99%
“…This program communicates with the two other modules via sockets. The upper module is either a narrative engine previously developed by the author [12][13] or a "tester", a simple Java program allowing the user to manually enter commands to be sent to the behaviour engine. Figure 6 represents the architecture, with the narrative engine.…”
Section: Technical Architecturementioning
confidence: 99%