Not logged in : Login
(Sponging disallowed)

About: Understanding Aesthetics and Fitness Measures in Evolutionary Art Systems     Goto   Sponge   Distinct   Permalink

An Entity of Type : bibo:AcademicArticle, within Data Space : linkeddata.uriburner.com:28898 associated with source document(s)

AttributesValues
type
seeAlso
sameAs
http://eprints.org/ontology/hasAccepted
http://eprints.org/ontology/hasDocument
dc:hasVersion
Title
  • Understanding Aesthetics and Fitness Measures in Evolutionary Art Systems
  • Understanding Aesthetics and Fitness Measures in Evolutionary Art Systems
described by
Date
  • 2019-03-21
  • 2019-03-21
Creator
status
Publisher
abstract
  • One of the general aims of evolutionary art research is to build a computer systems capable of creating interesting, beautiful or creative results, including images, videos, animations, text, and performances. In this context it is crucial to understand how fitness is conceived and implemented to explore the ‘interestingness’, beauty or creativity that the system is capable of. In this paper we survey the recent research on fitness for evolutionary art related to aesthetics. We also cover research in the psychology of aesthetics, including relation between complexity and aesthetics, measures of complexity and complexity predictors. We try to establish connections between human perception and understanding of aesthetics with current evolutionary techniques.
  • One of the general aims of evolutionary art research is to build a computer systems capable of creating interesting, beautiful or creative results, including images, videos, animations, text, and performances. In this context it is crucial to understand how fitness is conceived and implemented to explore the ‘interestingness’, beauty or creativity that the system is capable of. In this paper we survey the recent research on fitness for evolutionary art related to aesthetics. We also cover research in the psychology of aesthetics, including relation between complexity and aesthetics, measures of complexity and complexity predictors. We try to establish connections between human perception and understanding of aesthetics with current evolutionary techniques.
Is Part Of
Subject
list of authors
volume
  • 2019
  • 2019
is topic of
is primary topic of
Faceted Search & Find service v1.17_git144 as of Jul 26 2024


Alternative Linked Data Documents: iSPARQL | ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 08.03.3331 as of Aug 25 2024, on Linux (x86_64-ubuntu_noble-linux-glibc2.38-64), Single-Server Edition (378 GB total memory, 37 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software