Complexity and the Structure of Music: Universal Features and Evolutionary Perspectives Across Cultures - Resources

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Complexity and the Structure of Music: Universal Features and Evolutionary Perspectives Across Cultures
December 7 - 9, 2020 — Zoom

Relevant scientific outputs for the Working Group: (lacks update)

M. Buongiorno Nardelli, "The hitchhiker’s guide to the all-interval 12-tone rows," submitted (2020), also at

M. Buongiorno Nardelli, "Tonal harmony, the topology of dynamical score networks and the Chinese postman problem," submitted (2020), also at

M. Buongiorno Nardelli, "Topology of Networks in Generalized Musical Spaces," Leonardo Music Journal, Accepted at (2020), also at

M. Buongiorno Nardelli, "MUSICNTWRK: data tools for music theory, analysis and composition,", Springer Lecture Notes in Computer Science, Proceedings of CMMR 2019, October 14,19, 2019, Marseille, France, in press.

Gresham-Lancaster, Scot. “A Personal Reminiscence on the Roots of Computer Network Music.” Leonardo Music Journal, vol. 27, no. 27, June 2017, pp. 71–77., doi:10.1162/lmj_a_01022.

Notes on "Culture of Fire" for Analog Neural Network Synthesizer, Geiger Muller Counters and Computer. ICMC 2015 UM Ann Arbor, MI: Michigan Publishing

Gresham-Lancaster, Scot “Computer Network Music” Arts, Humanities, and Complex Networks (Leonardo ebook series) , Leonardo/ISAST and MIT Press; 4th edition (May 28, 2014)

Gresham-Lancaster, Scot “The Aesthetics and History of the Hub: The Effects of Changing Technology on Network Computer” (Leonardo Music Journal 8, MIT Press 1998) 39-44

Setzler, M.*, Marghetis, T.*, & Kim, M. (July 2018). Creative leaps in musical ecosystems: Early warning signals of critical transitions in professional jazz. 40th Annual Meeting of the Cognitive Science Society. *joint first authors,

Thibault, William & Gresham-Lancaster, Scot, “Digital Terrain: Using Digital Elevation Models for Music and Interactive Multimedia Desktop Music” (Leonardo Music Journal 7, MIT Press 1997)

Universality in rank-ordered distibutions in the arts and sciencies (2009), G. Martínez-Mekler, R. Alvarez Martínez, M. Beltran del Rio, R. Mansilla, P. Miramontes, G. Cocho, PLoS ONE 4(3): e4791. doi:10.1371/journal.pone.0004791

Multiple scaling behaviour and nonlinear traits in music scores, Alfredo González Espinoza, Hernán Larralde, Gustavo Martínez-Mekler, Royal Society Open Science 4: 171282. (2018)

The arrow of time along five centuries of classical music,Alfredo González-Espinoza, Gustavo Martínez-Mekler, Lucas Lacasa, Physical Review Research 2, 033166 (2020)

Scientific American Link

Some relevant publications:

Theory: Tonal Interval Space Bernardes, G., Cocharro, D., Caetano, M., Guedes, C., Davies, M.E.P. (2016). A Multi-Level Tonal Interval Space for Modelling Pitch Relatedness and Musical Dissonance. Journal of New Music Research, 45(4): 281-294 . DOI: pdf of the preprint version.

Bernardes, G. Defining a Harmonic Grammar in the Fourier Space. Música Analítica: Porto International Symposium on the Analysis and Theory of Music. (In preparation a journal paper on the topic as well)

Elizabeth Margulis Publications


Audio Description: Ramires, A., Bernardes, G., Davies, M.E.P., & Serra, X. (2020). TIV.Lib: An Open-Sounce Library for the Tonal Description of Musical Audio. International Conference on Digital Audio Effects. Vienna, Austria. pdf

Generative Music Navarro-Cáceres, M., Caetano, M., Bernardes, G. Sánchez-Barba, M., Merchán, J. (2020). A Computational Model of Tonal Tension Profile of Chord Progressions in the Tonal Interval Space. Entropy 22(11), 129. Special Issue Artificial Intelligence and Complexity in Art, Music, Games and Design. DOI:

Bernardes, G., Cocharro, D., Guedes, C., & Davies, M.E.P. (2015). Conchord: An Application for Generating Musical Harmony by Navigating in a Perceptually Motivated Tonal Interval Space. Proceedings of the 11th International Symposium on Computer Music Modeling and Retrieval (CMMR), (pp. 71-86). Plymouth, UK.

Harmonic transformations (driven by geometric spaces) Cocharro, D. & Bernardes, G. (2017). HarT: Smart Tool for Harmonic Content Transformations. pp. International Symposium on Computer Music Multidisciplinary Research (CMMR), pp. 560-563, Matosinhos, Portugal. pdf (Best demo award).

Visualisation/Music Information Retrieval/mashup harmonic spaces Maças, C., Rodrigues, A., Bernardes, G., Machado, P. (2019). MixMash: An Assistive Tool for Music Mashup Creation from Large Music Collections. International Journal of Art, Culture and Design Technologies, 8(2), 20-40. DOI:

Bernardes, G., Davies, M., Guedes, C. (2018). A hierarchical harmonic mixing method. In M. Aramaki et al. (Eds.) Music technology with Swing (pp. 151-170). Lecture Notes in Computer Sciences, vol. 11265. Springer Nature Switzerland. DOI: pdf

Audio synthesis in descriptives (geometric) spaces: Bernardes, G. (2020). Interfacing Sounds: Hierarchical Audio-Content Morphologies for Creative Re-purposing in earGram. Proceedings of the International Conference on New Interfaces for Musical Expression. Birmingham, UK. pdf

Beyls, P., Bernardes, G., & Caetano, M. (2015). The Emergence of Complex Behavior as an Organizational Paradigm for Concatenative Sound Synthesis. Proceedings of the xCoAx Conference, Glasgow, Scotland, UK. pdf