Algorithmic Modeling of Arts and Other Hard-to-Formalize Subjects
Irina Gorbunova1, Sergey Chibirev2

1Irina Gorbunova*, Chief Researcher of the Educational and Methodological Laboratory Music ComputerTechnologies of the Herzen State Pedagogical University of Russia, St. Petersburg, Russia.
2Sergey Chibirev, Research Scientist and Lector at the Educational and Methodical Laboratory Music Computer Technologies of the Herzen State Pedagogical University of Russia, St. Petersburg, Russia.
Manuscript received on March 12, 2020. | Revised Manuscript received on March 25, 2020. | Manuscript published on March 30, 2020. | PP: 2655-2663 | Volume-8 Issue-6, March 2020. | Retrieval Number: F7722038620/2020©BEIESP | DOI: 10.35940/ijrte.F7722.038620

Open Access | Ethics and Policies | Cite | Mendeley
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (

Abstract: This article is devoted to open questions related to modelling and using of modelling in various areas that hardly can be formalized, such as arts, creativity process, and some hard cases in natural science. We are discussing here the advantage of using modelling and the global question: why we need modelling in such areas and why. Several music and scientific centres across the globe are studying the ways of modelling the logical laws of creativity, by exploring generalized parameters of works of art including music. In recent years, Russian scientists have become more interested in modelling the process of musical creativity and music programming. Most frequently, these works are applied in the computer analysis of works of art, to determine the author or the period of creation, to attribute the work of art to a particular school or group. Fewer papers provide a deeper analysis, including psychological aspects of the perception of art (in particular, music). The authors have developed a method to construct models in subject areas difficult to formalize, applying it to create a model of musical creativity based on the structural analysis of musical texts, the cyclical structuring of statistical data, and the structural analysis of statistical information. This approach allows creating texts that satisfy the previously obtained or manually provided parameters.
Keywords: Mathematical Modeling, Computer Modeling, Identification, Hard-To-Formalize Subject Areas, Music Computer Technologies.
Scope of the Article: Music Modelling and Analysis.