Integrating Purpose and Revision into a Computational Model of Literary Generation
Integrating Purpose and Revision into a Computational Model of Literary Generation
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将目的和修订整合到文学生成的计算模型中
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
C. León
中科院分区：
文献类型：
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作者：
Pablo Gervás;C. León
在过去的几年里，计算创造力领域的进步已经探索了生成过程和评估模型的结合，以获得既原始又有价值的人工制品。这种情况发生在音乐、图形艺术或数学等不同领域。这些努力中的许多都依赖于确定一个最佳点，即现有技术提供的建设性过程与人类创造过程的某些部分非常相似。然而，这些方法很少像在人类身上观察到的那样，模拟创造性过程的迭代本质，在人类身上，创造者带着一个目的出发，创建草稿，然后不断修改，直到达到目的。虽然在真正的创造性过程中，目的也可能在修订过程中演变，但缺乏方向一直是对早期计算创造力方法的破坏性批评。在本章中，我们将讨论一组基于特定技术的文学文本计算生成方法的示例，提出一个捕获生成工件的目的驱动修订的计算模型，并回顾一些正在进行的实现该模型部分的研究工作。
Over the past few years, advances in the area of computational creativity have explored the combination of generative processes and evaluation models to obtain artifacts that are both original and valuable. This has taken place in fields as different as music, graphical art, or mathematics. Many of these efforts rely on identifying a sweet spot where an existing technology provides a constructive process that resembles closely some part of a creative process of humans. However, these approaches very rarely model the iterative nature of creative process as observed in humans, where a creator sets out with a purpose in mind, and creates drafts and revises them successively until the purpose is met. While it is a fact that in truly creative processes the purpose may also evolve during revision, the lack of direction has always been a damaging criticism to early approaches to computational creativity. In this chapter we will address a set of examples of approaches to the computational generation of literary texts based on particular techniques, propose a computational model that captures the purpose-driven revision of generated artifacts, and review a number of ongoing research efforts that implement parts of this model.
FloWr 框架：创意系统的自动化流程图构建、优化和变更
DOI：
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发表时间：
2014
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影响因子：
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作者：
Charnley. J
通讯作者：
Charnley. J
关于创意系统中偶然性的讨论
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发表时间：
2013
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影响因子：
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作者：
Pease. A
通讯作者：
Pease. A