Modelling the underlying principles of human aesthetic preference in evolutionary art

被引：3

作者：

Ekart, Aniko ^{[1
]}

Joo, Andras ^{[1
,2
]}

Sharma, Divya ^{[3
]}

Chalakov, Stayko ^{[1
]}

机构：

[1] Aston Univ, Aston Triangle, Birmingham B4 7ET, W Midlands, England

[2] Sapientia Univ, Targu Mures 540485, Romania

[3] Indian Inst Technol, Ropar, India

来源：

JOURNAL OF MATHEMATICS AND THE ARTS | 2012年 / 6卷 / 2-3期

关键词：

aesthetic measure; human preference modelling; evolutionary art; genetic programming; interactive versus automatic evolution;

D O I：

10.1080/17513472.2012.679489

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

Our understanding of creativity is limited, yet there is substantial research trying to mimic human creativity in artificial systems and in particular to produce systems that automatically evolve art appreciated by humans. We propose here to study human visual preference through observation of nearly 500 user sessions with a simple evolutionary art system. The progress of a set of aesthetic measures throughout each interactive user session is monitored and subsequently mimicked by automatic evolution in an attempt to produce an image to the liking of the human user.

引用

页码：107 / 124

页数：18

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