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December 19, 2025Lecture Notes in Education Psychology and Public MediaOpen Access

From Code to Nature: Algorithmic Simulations Shaping Generative Art

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Authors

HXHui Xue

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Overview

This work demonstrates how algorithmic techniques improve natural phenomena representation in generative art, highlighting ethical and ecological implications.

Key Points

  • The research explores how algorithmic simulations influence generative art and establishes evaluation criteria for these simulations.
  • Analysis of algorithmic techniques including fractals, particle systems, and cellular automata.
  • Evaluation based on morphological fidelity, dynamic fidelity, situated coupling, and affective remainder.
  • Examination of works by artists like Ryoji Ikeda and Refik Anadol.
  • Algorithmic strategies effectively capture natural phenomena's structural logic and dynamics.
  • Digital simulations show emergent complexity, but lack certain sensory qualities of nature.
  • Ethical and ecological implications depend on their contextual integration with the real world.

Cite This Study

Hui Xue (2025) studied this question.

synapsesocial.com/papers/69449a892f0218eca950840bhttps://doi.org/10.54254/2753-7048/2026.zju30713
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