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首页> 外文会议>8th World Multi-Conference on Systemics, Cybernetics and Informatics(SCI 2004) vol.14: Computer and Information Systems, Technologies and Applications >A Computational Mechanism of the 'Distance' in Narrative: A Trial in the Expansion of Literary Theory
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A Computational Mechanism of the 'Distance' in Narrative: A Trial in the Expansion of Literary Theory

机译：叙事中“距离”的一种计算机制：文学理论扩展的尝试

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Narrative generation study in artificial intelligence and cognitive science has comparatively long history since Meehan (1980). We also began the research of narrative generation under the stimulus of computational approach using technologies and theoretical frameworks (story grammar, script, goal-plan, relating knowledge representations and discourse techniques, etc.). But because we were originally and strongly interested in narratives, literary works, and other arts and entertainments like music, film, and drama, one of our important purpose through narrative generation study was to assimilate the knowledge in literary areas such as narratology and literary theories (especially, the flow of Russian formalism, structuralism, and post-structuralism, which is represented by Propp, Bakhtin, Barthes, Greimas, Genette, Prince, Bal, etc.) into the framework of narrative generation based on AI and cognitive science. Simultaneously, we have a direction of interest ingness to the creation in digital narrative contents over existing styles (e.g. Endo & Ogata, 2004; Kobayashi & Ogata, 2004). In this paper, we don't refer to the latter, and describe about an idea to treat a theme in narratology, namely the problem of "distance" as one of "narrative discourse" techniques, by computational approach. From the viewpoint of narratology, narrative discourse is related to the aspect of "how to narrate" a narrative content, and the aspect of this content corresponds to "story "or "what to narrate". In the area of narratology, Genette is a researcher who created a very influential and productive theory that has been regarded as a starting point for the systematic approach to the problem of narrative discourse.
机译：自Meehan（1980）以来，人工智能和认知科学中的叙事产生研究已有相当长的历史。在技​​术和理论框架（故事语法，剧本，目标计划，相关知识表示和话语技巧等）的计算方法的刺激下，我们也开始了叙事产生的研究。但是，由于我们最初对叙事，文学作品以及其他艺术和娱乐（例如音乐，电影和戏剧）感兴趣，因此通过叙事研究的重要目的之一就是吸收叙事学和文学理论等文学领域的知识（特别是俄罗斯形式主义，结构主义和后结构主义的流动，以普普，巴赫金，巴特，格雷马斯，Genette，普林斯，巴尔等人为代表）进入了基于人工智能和认知科学的叙事框架。同时，我们对现有叙事形式的数字叙事内容的创作产生了兴趣（例如Endo＆Ogata，2004； Kobayashi＆Ogata，2004）。在本文中，我们不参考后者，而是通过一种计算方法来描述一种将叙事学中的主题作为“叙事话语”技术之一的“距离”问题的想法。从叙事学的角度来看，叙事话语与“如何叙事”叙事内容有关，而该内容则与“故事”或“叙事内容”相对应。在叙事学领域，吉内特（Genette）是一位研究人员，他创造了一种非常有影响力和富有成果的理论，被认为是系统地处理叙事话语问题的起点。

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