Skip to main content

Augmenting Live Coding with Evolved Patterns

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9596))

Abstract

We present a new system for integrating evolvutionary processes with live coding. The system is built upon an existing platform called Extramuros, which facilitates network-based collaboration on live coding performances. Our evolutionary approach uses the Tidal live coding language within this platform. The system uses a grammar to parse code patterns and create random mutations that conform to the grammar, thus guaranteeing that the resulting pattern has the correct syntax. With these mutations available, we provide a facility to integrate them during a live performance. To achieve this, we added controls to the Extramuros web client that allows coders to select patterns for submission to the Tidal interpreter. The fitness of the pattern is updated implicitly by the way the coder uses the patterns. In this way, appropriate patterns are continuously generated and selected for throughout a performance. We present examples of performances, and discuss the utility of this approach in live coding music.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Rodriguez, J.D.F., Vico, F.J.: AI methods in algorithmic composition: a comprehensive survey. J. Artif. Intell. Res. 48, 513–582 (2013)

    MathSciNet  MATH  Google Scholar 

  2. Unehara, M., Onisawa, T.: Composition of music using human evaluation. In: The 10th IEEE International Conference on Fuzzy Systems, 2001, vol. 3, pp. 1203–1206. IEEE (2001)

    Google Scholar 

  3. MacCallum, R.M., Mauch, M., Burt, A., Leroi, A.M.: Evolution of music by public choice. Proc. Nat. Acad. Sci. 109(30), 12081–12086 (2012)

    Article  Google Scholar 

  4. McLean, A.: Making programming languages to dance to: live coding with Tidal. In: Proceedings of the 2nd ACM SIGPLAN International Workshop on Functional Art, Music, Modeling and Design, pp. 63–70. ACM (2014)

    Google Scholar 

  5. Ogborn, D., Tsabary, E., Jarvis, I., Cardenas, A., McLean, A.: Extramuros: making music in a browser-based, language-neutral collaborative live coding environment. In: McLean, A., Magnusson, T., Ng, K., Knotts, S., Armitage, J. (eds.) Proceedings of the First International Conference on Live Coding, University of Leeds, ICSRiM, p. 300 (2015)

    Google Scholar 

  6. Aaron, S., Blackwell, A.F.: From Sonic Pi to overtone: creative musical experiences with domain-specific and functional languages. In: Proceedings of the first ACM SIGPLAN Workshop on Functional Art, Music, Modeling and Design, pp. 35–46. ACM (2013)

    Google Scholar 

  7. Wang, G., Fiebrink, R., Cook, P.R.: Combining analysis and synthesis in the ChucK programming language. In: Proceedings of the International Computer Music Conference, pp. 35–42 (2007)

    Google Scholar 

  8. Parr, T.: The Definitive ANTLR 4 Reference. Pragmatic Bookshelf, Dallas (2013)

    Google Scholar 

  9. O’Neill, M., Ryan, C.: Grammatical Evolution: Evolutionary Automatic Programming in an Arbitrary Language, vol. 4. Springer, New York (2012)

    MATH  Google Scholar 

  10. Pattee, H.H.: Cell psychology: an evolutionary approach to the symbol-matter problem. In: LAWS, LANGUAGE and LIFE. Springer, pp. 165–179 (2012)

    Google Scholar 

Download references

Acknowledgements

This work was funded by the EU FP7 project EvoEvo, grant number 610427.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Simon Hickinbotham .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Hickinbotham, S., Stepney, S. (2016). Augmenting Live Coding with Evolved Patterns. In: Johnson, C., Ciesielski, V., Correia, J., Machado, P. (eds) Evolutionary and Biologically Inspired Music, Sound, Art and Design. EvoMUSART 2016. Lecture Notes in Computer Science(), vol 9596. Springer, Cham. https://doi.org/10.1007/978-3-319-31008-4_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-31008-4_3

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-31007-7

  • Online ISBN: 978-3-319-31008-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics