Computational Creativity Infrastructure for Online Software Composition: A Conceptual Blending Use Case

Pedro Martins, Hugo Goncalo Oliveira, João Carlos Gonçalves, António Cruz, Amílcar Cardoso, Martin Žnidaršič, Nada Lavrač, Simo Linkola, Hannu Toivonen, Raquel Hervás, Gonzalo Méndez, Pablo Gervás

Research output: Contribution to journalArticleScientificpeer-review


Computational creativity (CC) is a multidisciplinary research field, studying how to engineer software that exhibits behavior that would reasonably be deemed creative. This paper shows how composition of software solutions in this field can effectively be supported through a CC infrastructure that supports user-friendly development of CC software components and workflows, their sharing, execution, and reuse. The infrastructure allows CC researchers to build workflows that can be executed online and be easily reused by others through the workflow web address. Moreover, it enables the building of procedures composed of software developed by different researchers from different laboratories, leading to novel ways of software composition for computational purposes that were not expected in advance. This capability is illustrated on a workflow that implements a Concept Generator prototype based on the Conceptual Blending framework. The prototype consists of a composition of modules made available as web services, and is explored and tested through experiments involving blending of texts from different domains, blending of images, and poetry generation.

Original languageEnglish
Article number9
JournalIBM Journal of Research and Development
Issue number1
Pages (from-to)9:1-9:17
Number of pages17
Publication statusPublished - 8 Feb 2019
MoE publication typeA1 Journal article-refereed

Fields of Science

  • 113 Computer and information sciences
  • computational creativity
  • artificial intelligence
  • conceptual blending

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