Towards a Computational Framework for Function-Driven Concept Invention

  • Nico PotykaEmail author
  • Danny Gómez-Ramírez
  • Kai-Uwe Kühnberger
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9782)


We propose a novel framework for computational concept invention. As opposed to recent implementations of Fauconnier’s and Turner’s Conceptual Blending Theory, our framework simplifies computational concept invention by focusing on concepts’ functions rather than on structural similarity of concept descriptions. Even though creating an optimal combination of concepts that achieves the desired functions is NP-complete in general, some interesting special cases are tractable.


Utility Function Functional Unit Input Space Local Algorithm Concept Invention 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



Some of the authors acknowledge the financial support of the Future and Emerging Technologies Programme within the Seventh Framework Programme for Research of the European Commission, under FET-Open grant number: 611553 (COINVENT).


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Nico Potyka
    • 1
    Email author
  • Danny Gómez-Ramírez
    • 1
  • Kai-Uwe Kühnberger
    • 1
  1. 1.Institute of Cognitive ScienceUniversity of OsnabrückOsnabrückGermany

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