Baseline Methods for Automated Fictional Ideation
Baseline Methods for Automated Fictional Ideation
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自动虚构构思的基线方法
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
S. Clark
中科院分区：
文献类型：
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作者：
M. T. Llano;R. Hepworth;S. Colton;J. Gow;J. Charnley;N. Lavrač;M. Žnidaršič;Matic Perovsek;Mark Granroth;S. Clark
虚构想法的发明（构思）通常是诗歌，音乐和绘画等人工制品的创造性生产的核心过程，但在计算创造力社区中几乎没有研究。我们在这里提出了三种自动虚构构思的基线方法，使用的方法是从ConceptNet和ReVerb数据库中反转和改变事实，并执行bisociative发现。对于每种方法，我们通过计算通过典型性评估的想法比例来进行策展分析。我们通过一个众包实验进一步评估了一种构思方法，在这个实验中，参与者被要求对想法进行排名。本研究的结果，以及这里提出的基线方法和方法，构成了一个坚实的基础，在此基础上建立更复杂的模型，自动化的想法与评价能力。
The invention of fictional ideas (ideation) is often a central process in the creative production of artefacts such as poems, music and paintings, but has barely been studied in the Computational Creativity community. We present here three baseline approaches for automated fictional ideation, using methods which invert and alter facts from the ConceptNet and ReVerb databases, and perform bisociative discovery. For each method, we present a curation analysis, by calculating the proportion of ideas which pass a typicality evaluation. We further evaluate one ideation approach through a crowd- sourcing experiment in which participants were asked to rank ideas. The results from this study, and the baseline methods and methodologies presented here, constitute a firm basis on which to build more sophisticated models for automated ideation with evaluative capacity.
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
期刊：
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影响因子：
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作者：
Charnley. J
通讯作者：
Charnley. J