A computational model of analogical thinking as a framework for creative decision-making in music composition

类比是人类认知的一个重要特征，它在音乐中的作用代表了一个新兴的研究领域。本博士将采用基于实践的方法，通过采用Douglas Hofstadter和Melanie Mitchell的类比制作程序“Copycat”，作为五种类比环境下音乐创作创造性决策的算法框架，研究类比思维在音乐创作中的作用。通过将结果与人类和计算机创作的音乐进行比较，本研究旨在深入了解作曲过程中涉及的音乐认知过程，并为人工创造力提供潜在的应用。

Analogy is a key feature of human cognition, and its role in music represents a burgeoning field of research. This PhD will investigate the role of analogical thinking in music composition using a practice-based approach, by adapting Douglas Hofstadter and Melanie Mitchell's analogy-making program, "Copycat", as an algorithmic framework for creative decision-making in music composition across five analogical contexts. By comparing resulting work with human- and computer-created music, this research aims to generate insights into music cognitive processes involved in composition, and offer potential applications in artificial creativity.