论文标题
解释创意文物
Explaining Creative Artifacts
论文作者
论文摘要
人类创造力通常被描述为将关联元素结合到新形式的心理过程，但是新兴的计算创造力算法可能无法以这种方式运行。在这里，我们开发了一个反问题公式，将组合和构图创造力的产品解构为关联链，作为与人类创造过程相匹配的事后解释的一种形式。特别是，我们的配方是通过关联元素的知识图来解决旅行推销员问题的结构。我们使用一个示例来说明我们的方法在解释有明确的语义结构的烹饪计算创造力中，以及在语言生成中的两个示例，我们要么提取映射到知识图的明确概念，要么考虑单词嵌入空间中的距离。我们通过抛弃最佳旅行推销员路径的长度来关闭，以衡量创造力的新颖性。
Human creativity is often described as the mental process of combining associative elements into a new form, but emerging computational creativity algorithms may not operate in this manner. Here we develop an inverse problem formulation to deconstruct the products of combinatorial and compositional creativity into associative chains as a form of post-hoc interpretation that matches the human creative process. In particular, our formulation is structured as solving a traveling salesman problem through a knowledge graph of associative elements. We demonstrate our approach using an example in explaining culinary computational creativity where there is an explicit semantic structure, and two examples in language generation where we either extract explicit concepts that map to a knowledge graph or we consider distances in a word embedding space. We close by casting the length of an optimal traveling salesman path as a measure of novelty in creativity.
