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June 4, 2026Культура и искусствоOpen Access

Algorithmic and Generative Foundations of Ballet: From Historical Dance Notations to Artificial Intelligence

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Authors

VZVioletta Vladimirovna Zhirova

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Overview

Article discusses integrating AI in classical ballet, highlighting its algorithmic nature and implications for preservation.

Key Points

  • The aim is to reconceptualize classical ballet as an algorithmic art form open to technological advancements.
  • Analyzed historical dance notations from the Baroque era to the 20th century.
  • Examined the impact of motion capture technology on ballet documentation.
  • Utilized structural-semiotic analysis and comparative-historical methods to explore algorithmic properties.
  • Demonstrated the potential of V. Stepanov's notation system based on biomechanical principles for AI applications.
  • Found that current diffusion models trained on modern dance cannot accurately replicate classical ballet's stylistic features.
  • Concluded that AI integration enhances the preservation and reconstruction of classical dance rather than threatening its tradition.

Cite This Study

Violetta Vladimirovna Zhirova (2026) studied this question.

synapsesocial.com/papers/6a2115d7d499ed480b16ed8bhttps://doi.org/10.7256/2454-0625.2026.5.79368
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