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

类比思维的计算模型作为音乐创作中创造性决策的框架

• 批准号: 2749039
• 金额: --
• 依托单位: University of York
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2749039
• 关键词: computational; model; analogical; thinking; framework

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.

类比是人类认知的一个重要特征，它在音乐中的作用是一个新兴的研究领域。这个博士将调查类比思维在音乐创作中的作用，使用基于实践的方法，通过改编道格拉斯霍夫施塔特和梅勒妮米切尔的类比决策程序，“模仿”，作为一个算法框架，在音乐创作中创造性的决策在五个类比的背景。通过将所产生的作品与人类和计算机创作的音乐进行比较，这项研究旨在深入了解作曲中涉及的音乐认知过程，并提供人工创造力的潜在应用。