In this article, we perform an exhaustive analysis of the use of Artificial Neural Networks and
Deep Learning in the Visual Arts. We begin by introducing changes in Artificial Intelligence …

Human creativity typically includes a self-critical aspect that guides innovation towards a
productive end. This chapter offers a brief history of, and outlook for, computational aesthetic …

The recent sale of an artificial intelligence (AI)-generated portrait for $432,000 at Christie's
art auction has raised questions about how credit and responsibility should be allocated to …

Can an algorithm create original and compelling fashion designs to serve as an inspirational
assistant? To help answer this question, we design and investigate different image …

Visual complexity influences people's perception of, preference for, and behaviour toward
many classes of objects, from artworks to web pages. The ability to predict people's …

Ten Questions Concerning Generative Computer Art Page 1 ©2014 ISAST doi:10.1162/LEON_a_00533
LEONARDO, Vol. 47, No. 2, pp. 135–141, 2014 135 Jon McCormack (artist, researcher) …

We present a corpus-based hybrid approach to music analysis and composition, which
incorporates statistical, connectionist, and evolutionary components. Our framework …

The current article is devoted to the issue of art technologization in the context of theatrical
science development. The author recognizes that digital technologies are currently one of …

In this opening chapter, we overview the quickly developing field of evolutionary machine
learning. We first motivate the field and define how we understand evolutionary machine …

One of the general aims of evolutionary art research is to build a computer system capable
of creating interesting, beautiful, or creative results, including images, videos, animations …