HeadSpace:将行动失败和角色信念整合到叙事计划中

Rushit Sanghrajka, R. Young, Brandon R. Thorne
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引用次数: 3

摘要

之前关于故事计划的工作缺乏关于角色的知识表示,即因为角色对世界状态的误解而尝试失败的行动。这项工作描述了HeadSpace,一个状态空间启发式搜索计划系统,它生成跟踪和操纵人物对故事世界的信念的故事。计划者通过尝试但失败的行动生成故事计划。我们展示了一个例子故事计划,其中包含失败的行动内容,这些内容不能通过典型的基于计划的故事创作方法生成,我们提供了一个分析评估,以描述我们的计划者相对于其他叙述计划者在处理角色信念和/或失败的行动执行方面增加的表达范围。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
HeadSpace: Incorporating Action Failure and Character Beliefs into Narrative Planning
Previous work on story planning has lacked a knowledge representation for characters that attempt actions that fail because of the characters' misconceptions about the world state. This work describes HeadSpace, a state-space heuristic search planning system that generates stories that track and manipulate characters' beliefs about the story world. The planner produces story plans with actions that are attempted but fail. We show an example story plan that contains failed-action content that cannot be generated by typical planning-based approaches to story creation, and we provide an analytical evaluation that characterizes our planner's increased expressive range relative to other narrative planners addressing character belief and/or failed action execution.
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