Computer Musicking as Onto-Epistemic Playground On the Joy of Developing Complexity Literacy and Learning to Let Others Be

Q2 Arts and Humanities Journal of Creative Music Systems Pub Date : 2022-03-28 DOI:10.5920/jcms.1038
Alice C. Eldridge
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引用次数: 1

Abstract

Theories across sciences and humanities posit a central role for musicking in the evolution of the social, biological and technical pat- terns that underpin modern humanity. In this talk I suggest that contemporary computer musicking can play a similarly critical role in supporting us through contemporary existential, ecological, technological and social crises, by providing a space for reworking our relationships with each other and the world, including the technologies that we make. Framed by Gregory Bateson’s analysis of the fundamental epistemological error which leads to interrelated existential, social and ecological crises, I will draw upon a range of personal projects to illustrate the value of computer music practices in learning to think better: from cybernetic generative art, through ecosystemic evolutionary art and feedback musicianship to the need for interactive approaches to algorithm interpretation in ma- chine listening to biodiversity. I will illustrate how computer musicking can help in three ways: firstly by developing complexity literacy, helping us to better understand the complex systems of the anthropocene; secondly by providing a space to explore other modes of relation through learning to let others be; and thirdly to clarify the importance of aligning technologies with and not against, the biosphere. As pre-historic musicking made us human, so contemporary computer musicking can help us learn to think through the challenges we face today and be better humans tomorrow.
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计算机音乐作为认识论的舞台——论培养复杂性素养和学会让他人成为自己的乐趣
科学和人文学科的理论认为,音乐在支撑现代人类的社会、生物和技术模式的演变中发挥着核心作用。在这次演讲中,我建议当代计算机音乐可以发挥类似的关键作用,通过提供一个空间来重塑我们与彼此和世界的关系,包括我们制造的技术,支持我们度过当代的生存、生态、技术和社会危机。在Gregory Bateson对导致相互关联的生存、社会和生态危机的基本认识论错误的分析的框架下,我将利用一系列个人项目来说明计算机音乐实践在学习更好地思考方面的价值:从控制论生成艺术,通过生态系统进化艺术和反馈音乐,在机器听生物多样性的过程中,需要交互式的算法解释方法。我将从三个方面阐述计算机音乐如何发挥作用:首先,通过培养复杂性素养,帮助我们更好地理解人类新世的复杂系统;其次,通过学习让他人存在,提供了一个探索其他关系模式的空间;第三,阐明使技术与生物圈保持一致而不是反对生物圈的重要性。正如史前音乐使我们成为人类一样,当代计算机音乐可以帮助我们学会思考今天面临的挑战,并在明天成为更好的人类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Creative Music Systems
Journal of Creative Music Systems Arts and Humanities-Music
CiteScore
1.20
自引率
0.00%
发文量
8
审稿时长
12 weeks
期刊最新文献
Title Pending 1311 Oktoechos Classification and Generation of Liturgical Music using Deep Learning Frameworks Editorial: JCMS Special Issue of the first Conference on AI Music Creativity Contemporary music genre rhythm generation with machine learning Deep Music Information Dynamics Novel Framework for Reduced Neural-Network Music Representation with Applications to Midi and Audio Analysis and Improvisation
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