Using Social Relationships to Control Narrative Generation

Using Social Relationships to Control Narrative Generation
复制标题

利用社会关系控制叙事生成

DOI:
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发表时间:
2015
期刊:
AAAI Conference on Artificial Intelligence
影响因子:
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通讯作者:
M. Cavazza
M. Cavazza
中科院分区:
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文献类型:
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作者:
J. Porteous;Fred Charles;M. Cavazza

文献摘要

被引文献

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叙事生成代表了人工智能规划的一个应用领域,其中计划质量与计划轨迹形状等属性相关。在我们的工作中,我们开发了一种基于计划的叙事生成方法,将角色关系作为控制计划形状的关键决定因素(在连续剧和肥皂剧等类型中,关系是关键因素)。我们的方法是在一个名为网络的演示互动叙事中实现的,以医疗剧类型为背景。该系统的特点是用户友好的机制,通过社交网络和3D舞台上生成的实时可视化叙事来指定虚拟角色之间的关系。
Narrative generation represents an application domain for AI planning where plan quality is related to properties such as shape of plan trajectory. In our work we have developed a plan-based approach to narrative generation that uses character relationships as a key determinant in controlling plan shape (relationships are key in genres such as serial dramas and soaps). Our approach is implemented in a demonstration Interactive Narrative, called NetworkING, set in the medical drama genre. The system features a user-friendly mechanism for specifying relationships between virtual characters, via a social network and real-time visualisation of generated narratives on a 3D stage.