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Genetic Algorithms Based on the Principles of Grundgestalt and Developing Variation

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9110))

Abstract

This article describes a specific aspect of a broad research project which aims at realization of analytical and compositional approaches theoretically based on the principles of Grundgestalt and developing variation, both elaborated by Arnold Schoenberg. The present study introduces a group of four complementary and sequential modules modeled as genetic algorithms (forming the geneMus complex), employed for the systematical production of variants from a basic musical cell. The description of the interaction and functioning of the four modules is followed by examples of their application in the whole process.

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Notes

  1. 1.

    See, for example, [13], among others.

  2. 2.

    In order to emphasize the importance of Brahms’ derivative practice, Schoenberg presented in 1933 in Frankfurt Broadcast a radio conference entitled Brahms the progressive, celebrating his birth’s centennial. Schoenberg provocatively chose this title as a kind of answer to the common sense that considered Brahms as a conservative composer in comparison to Wagner. That conference was years later transformed in a homonymous essay [4].

  3. 3.

    The chromosome M is not employed for variation, being only a transcription of chromosome I. It is necessary in order to provide to the system a melodic result with a compatible cardinality in relation to chromosome R (obviously, a sequence of intervals has always one element less than a sequence of corresponding durations).

  4. 4.

    The geno-Theorems may be of two kinds, depending on the respective chromosome: R-gT if referred to chromosome R (or one of this “descendant”), or M-gT, in the alternative case.

  5. 5.

    For a detailed description of this vector and of a closing related element, the Gödel-address, see [14].

  6. 6.

    The number of six generations was arbitrarily determined and can, of course, be expanded in the future.

  7. 7.

    Recently, the four gM’s modules were formatted as computational applications, being available for download in www.musmat.org.

References

  1. Frisch, W.: Brahms and the Principle of Developing Variation. University of California Press, Los Angeles (1984)

    Google Scholar 

  2. Burts, D.: An application of the Grundgestalt concept to the first and second Sonatas for Clarinet and Piano Op. 120 no. 1 and no. 2, by J. Brahms. Tampa. Dissertation (Masters in Music). University of South Florida (2004)

    Google Scholar 

  3. Embry, J.: The role of organicism in the original and revised versions of Brahmss Piano Trio In B Major, Op. 8, Mvt. I: A comparison by means of Grundgestalt analysis. Amherst. Dissertation (Masters in Music). University of Massachusetts (2007)

    Google Scholar 

  4. Schoenberg, A.: Brahms the progressive. In: Style and Idea: Selected Writings of Arnold Schoenberg, pp. 398–444. Faber and Faber, London (1984)

    Google Scholar 

  5. Frish, W.: The Early Works of Arnold Schoenberg (1893–1908). University of California Press, Los Angeles (1993)

    Google Scholar 

  6. Almada, C.: Simbologia e hereditariedade na formacão de uma Grundgestalt: a primeira das Quatro Cancões Op.2 de Berg. Per Musi, 27, 75–88 (2013)

    Google Scholar 

  7. Almada, C.: Derivacão tematica a partir da Grundgestalt da Sonata para Piano op.1, de Alban Berg. In: II Encontro Internacional de Teoria e Analise Musical. São Paulo: UNESP-USP-UNICAMP (2011)

    Google Scholar 

  8. Almada, C.: A variacão progressiva aplicada na geracão de ideias tematicas. In: II Simposio Internacional de Musicologia. Rio de Janeiro: UFRJ, pp. 79–90 (2011)

    Google Scholar 

  9. von Bertanlanffy, L.: General Systems Theory: Foundations, Development Applications. George Braziller, New York (1976)

    Google Scholar 

  10. Hofstadter, D.R.: Gödel, Escher, Bach: An Eternal Golden Braid. Basic Books, New York (1999)

    Google Scholar 

  11. Prusinkiewsky, P., Lindenmayer, A.: The Algorithmic Beauty of Plants. Springer, New York (1990)

    Google Scholar 

  12. Dawkins, R.: The Selfish Gene. Oxford University Press, Oxford (2006)

    Google Scholar 

  13. Dawkins, R.: The Blind Watchmaker. Penguin Books, London (1991)

    Google Scholar 

  14. Almada, C.: Gödel-vector and Gödel-address as tools for genealogical determination of genetically-produced musical variants. In: International Congress on Music and Mathematics. Puerto Vallarta: University of Guadalajara (Mexico 2014, in press)

    Google Scholar 

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Correspondence to Carlos de Lemos Almada .

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de Lemos Almada, C. (2015). Genetic Algorithms Based on the Principles of Grundgestalt and Developing Variation. In: Collins, T., Meredith, D., Volk, A. (eds) Mathematics and Computation in Music. MCM 2015. Lecture Notes in Computer Science(), vol 9110. Springer, Cham. https://doi.org/10.1007/978-3-319-20603-5_4

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  • DOI: https://doi.org/10.1007/978-3-319-20603-5_4

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  • Publisher Name: Springer, Cham

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