Conceptual Representations for Concept Creation



Computational creativity seeks to understand computational mechanisms that can be characterized as
creative. Creation of new concepts is a central challenge for any creative system.
In this paper, we outline different approaches to concept creation and then review conceptual representations relevant to concept creation. 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. These two distinctions are orthogonal.
Additionally, conceptual representations used in particular creative domains, i.e. language, music, image and emotion, are reviewed separately.
For each representation reviewed, we cover the inference it affords, the computational means of building it, and its application in concept creation.


Computational Creativity, Concept Creation, Knowledge Representation

Related Project

ConCreTe - Concept Creation Technology


ACM Computing Surveys, Vol. 52, #1, April 2019

Cited by

Year 2019 : 2 citations

 Vimercati, M., Bianchi, F., Soto, M., & Palmonari, M. (2019, November). Mapping Lexical Knowledge to Distributed Models for Ontology Concept Invention. In International Conference of the Italian Association for Artificial Intelligence (pp. 572-587). Springer, Cham.

 Lawrynowicz,A.(2019). Creative AI: a New Avenue for SemanticWeb? Semantic Web Journal.