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:
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通讯作者:
Michael Mateas
中科院分区:
文献类型:
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作者:
Sherol Chen;Adam M. Smith;A. Jhala;Noah Wardrip;Michael Mateas
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.