深度排列设计:一种新的潜在的基于人工智能的设计方法

IF 0.4 4区艺术学 0 ART

LEONARDO Pub Date : 2023-01-09 DOI:10.1162/leon_a_02359

Kostas Terzidis, Filippo Fabrocini, Hyejin Lee, Louis Daumard

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引用次数: 0

摘要

摘要提出了一种基于排列和神经网络的人工智能设计方法。元素以所有可能的方式组合在一起，形成所有可能的设计解决方案，神经网络在经过客观或主观标准的训练后提取最佳解决方案。这种方法预计将在时尚、建筑、音乐、讲故事、烹饪或任何其他设计或艺术领域有许多应用，这些领域可以用一组排列来表示。

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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Deep Permutation Design: A new potential artificial intelligence-based design methodology

Abstract An artificial intelligence-based design methodology is presented based on permutations and neural networks. Elements are combined in all possible ways to form all possible design solutions and a neural network extracts the best solutions after being trained on either objective or subjective criteria. This methodology is projected to have many applications in fashion, architecture, music, storytelling, cooking, or any other design or art field that can be represented as a set of permutations.

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来源期刊

LEONARDO ART-

CiteScore

0.90

自引率

0.00%

发文量

139

期刊介绍： Leonardo was founded in 1968 in Paris by kinetic artist and astronautical pioneer Frank Malina. Malina saw the need for a journal that would serve as an international channel of communication between artists, with emphasis on the writings of artists who use science and developing technologies in their work. Today, Leonardo is the leading journal for readers interested in the application of contemporary science and technology to the arts.