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Fuzzy cognitive goal net for interactive storytelling plot design

机译:交互式故事情节设计的模糊认知目标网

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Interactive storytelling attracts a lot of research interests among the interactive entertainments in recent years. Designing story plot for interactive storytelling is currently one of the most critical problems of interactive storytelling. Some traditional AI planning methods, such as Hierarchical Task Network, Heuristic Searching Method are widely used as the planning tool for the story plot design. This paper proposes a model called Fuzzy Cognitive Goal Net as the story plot planning tool for interactive storytelling, which combines the planning capability of Goal net and reasoning ability of Fuzzy Cognitive Maps. Compared to conventional methods, the proposed model shows a well-established temporal structure for story plot. It delegates the storytelling process to drama manager agent and sub drama manager agents. Dynamic storylines are prepared for the audiences' interactions. Fuzzy Cognitive Maps provide the drama manager agents strong reasoning capability with respect to story context and user interactions, which empowers the storytelling characteristics of context-awareness and user-awareness. An interactive storytelling engine has been built with the proposed model and knowledge base of interactive storytelling scenario. Based on the interactive storytelling engine, a prototype system, namely 'illness investigation in Singapore River City', was implemented in the virtual environment, in which the story of illness investigation is presented in the dynamic context by responding to the user interactions and environment variables.
机译:近年来,互动式叙事吸引了许多研究兴趣。目前,为交互式讲故事设计故事情节是交互式讲故事的最关键问题之一。分层任务网络,启发式搜索方法等传统的AI计划方法被广泛用作故事情节设计的计划工具。本文提出了一种名为“模糊认知目标网”的模型作为交互式讲故事的故事情节计划工具,该模型结合了目标网的计划能力和模糊认知图的推理能力。与传统方法相比,所提出的模型显示了故事情节的完善的时间结构。它把讲故事的过程委托给话剧经理和副戏经理。动态的故事情节为观众的互动做好了准备。模糊认知图为戏剧管理人员提供了关于故事情境和用户交互的强大推理能力,从而增强了情境意识和用户意识的叙事特征。利用所提出的交互式讲故事场景的模型和知识库,构建了一个交互式讲故事引擎。在交互式讲故事引擎的基础上,在虚拟环境中实现了“新加坡河市疾病调查”原型系统,该系统通过响应用户交互和环境变量在动态上下文中呈现疾病调查的故事。

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