Automated narrative planning model extension
Automated narrative planning model extension
复制标题
自动叙事规划模型扩展
DOI：
--
复制
发表时间：
2021
影响因子：
1.9
通讯作者：
M. Cavazza
中科院分区：
文献类型：
--
作者：
J. Porteous;J. Ferreira;A. Lindsay;M. Cavazza
交互式叙事是自动规划的一种新兴应用，其中规划域用于生成构成情节结构的一致的叙事动作链。创建叙述性规划领域的任务已被确定为阻碍该领域进一步发展的瓶颈。这源于人类创作这样的规划域所面临的困难，因为需要提供支持多样性和鲁棒性的重要属性所需的替代内容（例如动作）的范围。叙事规划域必须能够生成不同的叙事集，以确保系统的可回放性，并且它们还必须能够在由于用户交互而导致的叙事执行失败时做出鲁棒的响应。在本文中，我们介绍了一种新的方法来发展的叙事规划域的基础上自动扩展的基线规划域，通过应用程序的原则操作适用于运营商和谓词。我们在本文中概述了两个这样的操作。其中第一个，anton的反义词运营商，是基于生成相反的运营商，可以调用在面对行动失败，其结构是来自一个模型的状态转换触发的原始运营商。由于我们的意图是将额外的操作符合并到基线、人类编写的领域模型中，因此生成的内容应该是人类可读的。这是通过使用组合的语言资源来访问出现在运算符内的谓词的反义词，并将它们从连字符单元中解析出来。第二个操作是同一方法的一部分，称为thype，通过探索与各个操作符相关的主要概念的类型层次来生成操作符的变体;所产生的概念被完全集成到新的操作符的结构中。我们的评估程序是直接来自叙事规划域的目标属性，这是多样性和鲁棒性，前者通过情节多样性和后者，情节延续计划的行动执行失败。我们使用已发表的叙述域作为这些评价的数据集。结果表明，强大的生成能力，甚至更显着的计划完成后，行动失败。此外，我们的评估表明，协同性质的anton和thype同时应用时。未来的工作将集中在通过语言和概念层次之间更好的平衡来改善anton和thype操作的集成。
Interactive Narrative is an emerging application of automated planning, in which a planning domain is used to generate a consistent chain of narrative actions that constitute a plot structure. The task of creating narrative planning domains has been identified as a bottleneck which is hampering further development of the field. This stems from the difficulties faced by humans authoring such planning domains due to the need to provide the range of alternative content, such as actions, which are required to support the important properties of diversity and robustness. Narrative planning domains must be capable of generating diverse sets of narratives to ensure system replayability, and they must also be able to respond robustly in the face of narrative execution failure due to user interaction. In this paper, we introduce a novel approach to the development of narrative planning domains based on the automatic expansion of a baseline planning domain through application of principled operations applied to both operators and predicates. We overview two such operations in this paper. The first of these, anton for antonymic operators, is based on the generation of contrary operators that can be invoked in the face of action failure, and whose structure is derived from a model of state transitions triggered by the original operator. Since the intention is for additional operators to be incorporated to the baseline, human-authored, domain model, the generated contents should be human-readable. This is achieved by using combined linguistic resources to access antonyms of predicates occurring inside operators, and parsing them from and into hyphenated units. The second operation, part of the same approach, referred to as thype, generates variants of operators by exploring type hierarchies for the main concepts associated with individual operators; the resulting concepts being fully integrated into a new operator’s structure. Our evaluation procedures are directly derived from the target properties of narrative planning domains, which are diversity and robustness, the former being measured through plot diversity and the latter, plot continuation following planned action execution failure. We used published narrative domains as datasets for these evaluations. Results demonstrated strong generative ability, and even more significant plan completion following action failure. Moreover, our evaluation demonstrates the synergic nature of anton and thype when applied simultaneously. Future work will focus on improving the integration of anton and thype operations through better balance between linguistic and conceptual hierarchies.
通过集成情境机器人感知和语义网挖掘实现终身对象学习
DOI：
--
发表时间：
2016
期刊：
--
影响因子：
--
作者：
Young J
通讯作者：
Young J