Modern Algorithmic Aesthetics and Mathematical Harmony Throughout History

Nessreen Y. Ibrahim
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Abstract

The main objective of this review is to emphasizes the importance of mathematics and its role in aesthetic mental cognition and to encourage designers and contemporary artists to study pure mathematics seriously rather than dealing with pre-generated codes. By cultivating a philosophical attitude to so-called Algorithmic Aesthetics, the paper assumed that a new era of pure aesthetics could be begun. The article drew a solid connection between aesthetics and algorithmic design thinking based on mathematical approaches. Issues reviewed and discussed include the theoretical (quantitative) and applied (mathematical) theories that had been produced to explore the origin of aesthetics. This review attempts to emphasize the importance of mathematical sciences in understanding the beauty and perceive aesthetic phenomena. This connection drew on the precedents; Ceno-Pythagorean categories, Peircean universal categories, Birkhoff ’ s aesthetic measurement , Claude Shannon ’ s information theory, Moles ’ communicative system, Bense ’ s information aesthetics, Siegfried Maser ’ s cybernetic model, and Stakhov ’ s mathematical harmony theory, which all contributed to reconceiving the concept of mathematical harmony in the aesthetic phenomenon. In line with these theories, algorithmic generative experiments were designed based on a naturally inspired algorithm, to present an example for a coherent mathematical structure that is required for creating any aesthetic phenomenon.
现代算法美学与历史上的数学和谐
这篇综述的主要目的是强调数学的重要性及其在审美心理认知中的作用,并鼓励设计师和当代艺术家认真研究纯数学,而不是处理预先生成的代码。通过培养对所谓算法美学的哲学态度,本文假设一个纯粹美学的新时代可以开始。本文从数学的角度出发,将美学与算法设计思维联系起来。回顾和讨论的问题包括为探索美学起源而产生的理论(定量)和应用(数学)理论。本文试图强调数学科学在理解美和感知审美现象方面的重要性。这种联系借鉴了先例;格诺-毕达哥拉斯范畴、皮尔肖恩的普遍范畴、伯克霍夫的审美测量、香农的信息论、摩尔斯的交流系统、本斯的信息美学、梅泽的控制论模型和斯塔霍夫的数学和谐论,这些都有助于在审美现象中重新认识数学和谐的概念。根据这些理论,算法生成实验是基于自然启发的算法设计的,为创造任何美学现象所需的连贯数学结构提供了一个例子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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