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Computational Intelligence Approaches to Computational Aesthetics

Computational Intelligence Approaches to Computational Aesthetics
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Author(s): Erandi Lakshika (University of New South Wales, Australia) and Michael Barlow (University of New South Wales, Australia)
Copyright: 2018
Pages: 10
Source title: Encyclopedia of Information Science and Technology, Fourth Edition
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-5225-2255-3.ch014

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Abstract

Computational aesthetics is an area of research which attempts to develop computational methods that can perform human-like aesthetic judgements. Aesthetic judgements are often subjective, as such the development of computational models of aesthetics is highly challenging. This article summarises the advancements in the area of computational aesthetics and how computational intelligence techniques are applied in art and aesthetics ranging from simple classification problems to more advanced problems such as automatic generation of art artefacts, stories and simulations. The article concludes summarising major challenges that need to be addressed, and future directions that need to be undertaken in order to make significant advancements in the area of computational aesthetics and its applications.

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