The Perspective of Complex Scientific Systems: The Creation Path of Generative Art

• Published in: 16th International Conference on Advanced Computer Theory and Engineering, ICACTE 2023
• Main Author: Chen X.; Ibrahim Z.
• Format: Conference paper
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc. 2023
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85181772678&doi=10.1109%2fICACTE59887.2023.10335310&partnerID=40&md5=e19f80377663026caf03ab0798e71ded

This article delves into the theory of Generative art has emerged as a prominent form of digital creative expression, and a thorough understanding of its creative trajectory within the framework of complex systems is crucial. This paper delves into the creative path of generative art by examining its definition, motivation, and positioning within complex scientific systems. It investigates generative art as a complex scientific system, focusing on its characteristics of high order, high disorder, and complexity. Notably, the study introduces fractals in complex systems, living systems, and neural networks as influential factors in generative art production. Through this comprehensive analysis, the paper unveils the distinctive key features that differentiate generative art from other creative practices. Furthermore, the article explores the future potential and development of generative art, emphasizing its promising prospects for growth and progress. By presenting these insights, this study contributes to a deeper understanding of generative art's evolutionary path and its unique position in the realm of creative expression. © 2023 IEEE.