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International Conference on Artificial General Intelligence

AGI 2016: Artificial General Intelligence pp 212–222Cite as

Towards a Computational Framework for Function-Driven Concept Invention

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9782))

Abstract

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.

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Acknowledgements

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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Authors and Affiliations

  1. Institute of Cognitive Science, University of Osnabrück, Osnabrück, Germany

    Nico Potyka, Danny Gómez-Ramírez & Kai-Uwe Kühnberger

Authors
  1. Nico Potyka
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  2. Danny Gómez-Ramírez
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  3. Kai-Uwe Kühnberger
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Corresponding author

Correspondence to Nico Potyka .

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Editors and Affiliations

  1. Galleria 1, IDSIA, Manno, Switzerland

    Bas Steunebrink

  2. Temple University, Phoenixville, Pennsylvania, USA

    Pei Wang

  3. Hong Kong Polytechnic University, Hong Kong, Hong Kong

    Ben Goertzel

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© 2016 Springer International Publishing Switzerland

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Potyka, N., Gómez-Ramírez, D., Kühnberger, KU. (2016). Towards a Computational Framework for Function-Driven Concept Invention. In: Steunebrink, B., Wang, P., Goertzel, B. (eds) Artificial General Intelligence. AGI 2016. Lecture Notes in Computer Science(), vol 9782. Springer, Cham. https://doi.org/10.1007/978-3-319-41649-6_21

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  • DOI: https://doi.org/10.1007/978-3-319-41649-6_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-41648-9

  • Online ISBN: 978-3-319-41649-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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