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 a general approach to automated fictional ideation that works by manipulating facts specified in knowledge bases. More specifically, we specify a number of constructions which, by altering and combining facts from a knowledge base, result in the generation of fictions. Moreover, we present an instantiation of these constructions through the use of ConceptNet, a database of common sense knowledge. In order to evaluate the success of these constructions, we present a curation analysis that calculates the proportion of ideas which pass a typicality judgement. We further evaluate the output of this approach through a crowd-sourcing experiment in which participants were asked to rank ideas. We found a positive correlation between the participant’s rankings and a chaining inference technique that automatically assesses the value of the fictions generated through our approach. We believe that these results show that this approach constitutes a firm basis for automated fictional ideation with evaluative capacity.

中文翻译：

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通过知识库操作自动实现虚拟构想。

虚构思想（观念）的发明通常是诗歌，音乐和绘画等人工制品的创造性生产的核心过程，但在计算机创造力领域却鲜有研究。我们在这里介绍一种自动化的虚拟构想的通用方法，该方法通过处理知识库中指定的事实来起作用。更具体地说，我们指定了许多构造，这些构造通过更改和合并知识库中的事实来生成小说。此外，我们通过使用常识知识数据库ConceptNet提出这些构造的实例。为了评估这些构造的成功性，我们提供了策展分析，可以计算通过典型性判断的想法的比例。我们通过众包实验进一步评估了这种方法的结果，在该实验中，要求参与者对想法进行排名。我们发现参与者的排名与链式推理技术之间存在正相关关系，链式推理技术会自动评估通过我们的方法生成的小说的价值。我们认为，这些结果表明，这种方法为具有评估能力的自动小说构想奠定了坚实的基础。