Conceptual Representations for Computational Concept Creation

Ping Xiao, Hannu Toivonen, Oskar Gross, Amilcar Cardoso, João Correia, Penousal Machado, Pedro Martins, Hugo Goncalo Oliveira, Rahul Sharma, Alexandre Miguel Pinto, Alberto Diaz, Virginia Francisco, Pablo Gervás, Raquel Hervas, Carlos León, Jamie Forth, Matthew Purver, Geraint A. Wiggins, Dragana Miljkovic, Vid PodpecanSenja Pollak, Jan Kralj, Martin Znidarsic, Marko Bohanec, Nada Lavrač, Tanja Urbancic, Frank Van Der Velde, Stuart Battersby

Research output: Contribution to journalArticleScientificpeer-review


Computational creativity seeks to understand computational mechanisms that can be characterized as creative. 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 representations. 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
JournalACM Computing Surveys
Issue number1
Number of pages33
Publication statusPublished - Feb 2019
MoE publication typeA1 Journal article-refereed

Fields of Science

  • 113 Computer and information sciences
  • Computational Creativity
  • Artificial Intelligence
  • Computational creativity
  • concept creation
  • concept
  • conceptual representation
  • procedural representation

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