基于计划的叙事生成中人物个性的计算模型

Julio César Bahamón
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引用次数: 1

摘要

为交互式数字媒体创作叙事内容既困难又耗时。本文提出的研究旨在通过开发一种计算模型来提高内容创作者的能力,该模型可以提高自动生成故事的质量,从而潜在地减轻作者的负担。故事的质量和可信度可以通过引人入胜的角色的出现而得到显著提升。为了实现这一目标,我打算开发一种基于选择的计算模型,以促进自动生成叙事,其中包括那些因存在鲜明个性特征而更引人注目的角色。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Toward a Computational Model of Character Personality for Planning-Based Narrative Generation
Authoring narrative content for interactive digital media can be both difficult and time consuming.The research proposed here aims at enhancing the capabilities of content creators through the development of a computational model that improves the quality of automatically generated stories, potentially decreasing the burden placed on the author. The quality and believability of a story can be significantly enhanced by the presence of compelling characters. To achieve this objective, I aim to develop a choice-based computational model that facilitates the automatic generation of narrative that includes characters that are made more compelling by the presence of distinct personality characteristics.
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