Creating characters in a story-telling universe

Lebowitz, Michael

doi:10.1016/0304-422x(84)90001-9

Cited by 100 publications

(51 citation statements)

References 19 publications

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“…We also tend to choose the work which provides a full-fledged system design of interactive narrative, rather than merely focuses on a particular issue, such as narrative generation. Thus, some earlier works on automatic story generation, such as TaleSpin [42], Universe [43] and MINSTREL [44], are not included in this review. In the following sub-sections, the reviewed works are presented in chronological order to give the reader a general idea of how the technologies of interactive narrative have evolved over the years.…”

Section: A Review Of Nine Interactive Narrative Systemsmentioning

confidence: 99%

A review of interactive narrative systems and technologies: a training perspective

et al. 2015

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Abstract-As an emerging form of digital entertainment, interactive narrative has attracted great attention of researchers over the past decade. Recently, there is an emerging trend to apply interactive narrative for training and simulation. An interactive narrative system allows players to proactively interact with simulated entities in a virtual world and have the ability to alter the progression of a storyline. In simulation-based training, the use of an interactive narrative system enables the possibility to offer engaging, diverse and personalized narratives or scenarios for different training purposes. This paper provides a review of interactive narrative systems and technologies from a training perspective. Specifically, we first propose a set of key requirements in developing interactive narrative systems for simulation-based training. Then we review nine representative existing systems with respect to their system architectures, features and related mechanisms. To examine their applicability to training, we investigate and compare the reviewed systems based on the functionalities and modules that support the proposed requirements. Furthermore, we discuss some open research issues on future development of interactive narrative technologies for training applications.

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Section: A Review Of Nine Interactive Narrative Systemsmentioning

confidence: 99%

A review of interactive narrative systems and technologies: a training perspective

et al. 2015

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“…Salient examples of planning-based story generation systems include Tale-Spin [11], Universe [9] and Fabulist [16]. By contrast, computational analogy algorithms have not been sufficiently explored in the domain of story generation.…”

Section: Automatic Story Generationmentioning

confidence: 99%

Argument-Based Case Revision in CBR for Story Generation

Ontañón

Plaza

Zhu

2015

Case-Based Reasoning Research and Development

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Abstract. This paper presents a new approach to case revision in casebased reasoning based on the idea of argumentation. Previous work on case reuse has proposed the use of operations such as case amalgamation (or merging), which generate solutions by combining information coming from different cases. Such approaches are often based on exploring the search space of possible combinations looking for a solution that maximizes a certain criteria. We show how Revise can be performed by arguments attacking specific parts of a case produced by Reuse, and how they can guide and prevent repeating pitfalls in future cases. The proposed approach is evaluated in the task of automatic story generation.

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“…Whether manifested as total order plans (e.g. Tale-Spin [5] and Universe [6]) or the more recent use of partial order plans (e.g. Fabulist [7]), plan-based representations formalize stories as sequences of actions towards certain goals.…”

Section: Story Representation In Narrative Systemsmentioning

confidence: 99%

Story representation in analogy-based story generation in Riu

Zhu

Ontañón

2010

Proceedings of the 2010 IEEE Conference on Computational Intelligence and Games

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Computational analogy offers a promising direction to algorithmically generating stories, a key challenge in computational narrative. Since analogy methods are very sensitive to the story representation being used, this paper focuses on story representation for analogy-based story generation. Specifically, we analyze existing story representation formalisms and propose a new approach based on the cognitive semantics theory of force dynamics. Finally, we present the results of our analogy-based interactive narrative system, Riu, to illustrate the utility of our proposal.

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Creating characters in a story-telling universe

Cited by 100 publications

References 19 publications

A review of interactive narrative systems and technologies: a training perspective

A review of interactive narrative systems and technologies: a training perspective

Argument-Based Case Revision in CBR for Story Generation

Story representation in analogy-based story generation in Riu

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