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

Forskningsoutput: TidskriftsbidragArtikelVetenskapligPeer 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.

TidskriftACM Computing Surveys
Antal sidor33
StatusPublicerad - feb. 2019
MoE-publikationstypA1 Tidskriftsartikel-refererad


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