Livecoding

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“We build our computers the way we build our cities -- over time, without a plan, on top of ruins.” Ellen Ullman (1998) The above quote refers to the historical layers that make up our computer operating systems, where newly developed user interfaces are successively placed on top of the old ones, creating a kind of palimpsest. Behind the graphical user interface we find a text-based one, then a programming language, then a low-level assembly language, then machine and microcode, until we eventually meet with physical electronic circuits. The conventional timeline for computing technology as a whole begins earlier still, with the discovery of the electronic transistor a century ago. Each of these layers has had its heyday as the dominant user interface of its time, and indeed each has been used to make algorithmic systems for, or indeed as, art. There is much artwork to be recognised throughout this period, but if we keep digging, there are many more ruins to be found. Through research during our European Research Council project PENELOPE, we find that algorithms have been present in everyday life for millennia. In the following we will explore some examples which support this claim, with focus on our recent work while resident at the Textiles Zentrum Haslach in Austria.

The extramuros soware was developed to explore live coding and network music, bringing live coding musicians to- gether around shared text buffers. Originally developed to support a globally distributed live coding ensemble, the extramuros soware has found additional application in projecting laptop orchestra performances to remote sites, in zero-installation workshop and performance seings, and in facilitating the efficient display of code by an ensemble. As the soware works by connecting shared text buffers to audio programming languages through specific network connections augmented by pipes, it is a language-neutral approach. This paper describes the overall architecture of the extramuros system, relating that architecture to perennial network music concerns for bandwidth, security, and syn- chronization. Examples of early use in workshops, rehearsals and performances by laptop orchestras and other small telematic ensembles are discussed, leading to a concluding discussion of directions for future work.

This article hosts an interdisciplinary exploration of cyclic rhythmic structures, bringing together historical references to ground understanding of algorithmic electronic dance music, and in particular the algorave movement. The role of pattern in uniting dance, music and language is investigated in the ancient practice of weaving, in ancient Greek choral lyric, and contemporary live coding. In this context the TidalCycles environment is introduced, with some visual and audio examples. Cyclic metrical patterns in ancient Greek are then explored in detail, particularly the metrical transformations of Epiplokē. Finally, this jump between contemporary and ancient practice leads us to consider algorave itself as a Luddite movement, its proponents engaged in an unravelling of technology.

We jointly designed and edited this volume [Oxford Handbook of Algorithmic Music] because of our complementary, overlapping yet highly contrasting backgrounds (we have performed together and met first in the context of music research). The contrast between us stems both from our differing time frames of involvement, and from the fact that AM makes music primarily (usually solely) via a computer and in real-time whereas RTD is an acoustic instrumentalist (particularly keyboards, often with computers), and a composer (offline) as well as improviser (real-time). While AM was using computers from an early age, and began serious programming around 1986 (aged 11), RTD first used a (desktop) computer in around 1982 (already aged more than 30). So in this final Perspective on Practice, we will discuss our own experiences and the development of our current enthusiasms. We hope that brief consideration of these trajectories will have some interest for readers seeking to engage with the breadth of our field of algorithmic music. We drafted our own sections, and then jointly edited the chapter, providing a brief conclusion; we also took advantage of helpful suggestions from external reviewers. See Note 1 to this chapter for information on cd and other sources of the music mentioned in the two authors’ sections that follow.

Music is a time-based art form often characterised by patternings; manipulations of sequences over time. Composers and performers may think in terms of patterns, although the structure of patterned sequences are often not made explicit in musical notation. This chapter explores how musical sequences can be created and transformed in real-time performance through patterning functions. Topics related to the use of algorithms for pattern-making are discussed, and two systems are introduced - ixi lang and TidalCycles, as high level and expressive mini-languages for musical pattern.

Official channel of the TidalCycles collective. See http://tidalcycles.org/ for more info.

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