• Ping Xiao
  • Hannu Toivonen
  • Oskar Gross
  • Amíilcar Cardoso
  • João Correia
  • Penousal Machado
  • Pedro Martins
  • Hugo Gonçalo Oliveira
  • Rahul Sharma
  • Alexandre Miguel Pinto
  • Alberto Díaz
  • Virginia Francisco
  • Pablo Gervás
  • Raquel Hervás
  • Carlos León
  • Jamie Forth
  • Matthew Purver
  • Dragana Miljkovi
  • Vid Podpecan
  • Senja Pollak
  • Jan Kralj
  • Martin Znidarsic
  • Marko Bohanec
  • Nada Lavrac
  • Tanja Urbancic
  • Frank van der Velde
  • Stuart Battersby
Computational creativity seeks to understand computational mechanisms that can be characterized as cre- ative. The creation of new concepts is a central challenge for any creative system. In this article, we outline different approaches to computational concept creation and then review conceptual representations relevant to concept creation, and therefore to computational creativity. The conceptual representations are organized in accordance with two important perspectives on the distinctions between them. One distinction is between symbolic, spatial and connectionist representations. The other is between descriptive and procedural repre- sentations. Additionally, conceptual representations used in particular creative domains, such as language, music, image and emotion, are reviewed separately. For every representation reviewed, we cover the inference it affords, the computational means of building it, and its application in concept creation.
Original languageEnglish
Article number9
Number of pages33
JournalACM Computing Surveys
Volume52
Issue number1
Publication statusPublished - 2019

ID: 44697046