通过对叙事学知识的介绍,综合叙事生成系统的宏观结构和基本方法

T. Akimoto, Takashi Ogata
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引用次数: 12

摘要

本文提出了一个综合叙事生成系统的综合架构,讨论了两种主要的方法,这两种方法是整合各种模块或元素的基础,并利用我们现有的程序直接展示了一个初步的版本,以看到综合系统的画面。在提出拟建综合系统的宏观结构后,我们描述了生成叙事结构和控制执行的两种基本方法。我们展示了一个系统的试点或初步版本,该系统是通过一种“拼凑”现有程序来开发的,这些程序对应于叙事生成过程中的每个模块。最后,我们讨论了构建下一个版本的综合叙事生成系统的一些问题。此外,这种架构在人工智能和叙事学的跨学科概念上也有别于其他许多系统和方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Macro structure and basic methods in the integrated narrative generation system by introducing narratological knowledge
This paper proposes the comprehensive architecture of an integrated narrative generation system to discuss main two methods which are the foundations for integrating a variety of modules or elements and show a preliminary version utilizing our existing programs directly for seeing the picture of the integrated system. After we propose the macro structure of the proposed integrated system, we describe two fundamental methods to generate narrative structures and controlling the execution. And we show a pilot or preliminary version for the system developed by a kind of “bricolage” of existing programs corresponding to each module in the narrative generation process. Last, we discuss some issues for building the next version of the integrated narrative generation system. Moreover, this architecture is also differentiated from other many systems and approaches in the interdisciplinary concept of AI and narratology.
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