RoleModel: towards a formal model of dramatic roles for story generation

RoleModel: towards a formal model of dramatic roles for story generation
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RoleModel:为故事生成建立戏剧角色的正式模型

DOI:
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发表时间:
2010
期刊:
International Conference on Foundations of Digital Games
影响因子:
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通讯作者:
Michael Mateas
Michael Mateas
中科院分区:
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文献类型:
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作者:
Sherol Chen;Adam M. Smith;A. Jhala;Noah Wardrip;Michael Mateas

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RoleModel是一个新颖的故事生成器,围绕角色的明确形式模型组织。RoleModel通过在溯因逻辑编程框架内使用角色的形式化模型来扩展从任意部分域规范生成的故事的表达能力。系统中的作者目标可以全部或部分指定为溯因逻辑程序中的约束。特别是,角色模型系统专注于表示和满足故事人物的角色约束。本文讨论了角色模型方法的基本架构,通过三个用例演示了系统的示例输出,讨论了作者的表达能力,使一个“无阶段”溯因逻辑方法的故事生成,并提出了当前和未来的方向。
RoleModel is a novel story generator organized around explicit formal models of character roles. RoleModel expands the expressiveness of stories generated from arbitrary partial domain specification by using a formal model of roles within an abductive logic programming framework. Authorial goals in the system can be fully or partially specified as constraints in an abductive logic program. In particular, the RoleModel system focuses on representing and satisfying role constraints of the story characters. This paper discusses the basic architecture for the RoleModel approach, demonstrates example output from the system through three use-cases, discusses the authorial expressiveness enabled by a "stageless" abductive logic approach to story generation, and proposes the current and future directions.