IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-00969305.html
   My bibliography  Save this paper

Conceptive Artificial Intelligence: Insights from design theory

Author

Listed:
  • Akın Kazakçı

    () (CGS i3 - Centre de Gestion Scientifique i3 - MINES ParisTech - École nationale supérieure des mines de Paris - PSL - PSL Research University - CNRS - Centre National de la Recherche Scientifique)

Abstract

The current paper offers a perspective on what we term conceptive intelligence - the capacity of an agent to continuously think of new object definitions (tasks, problems, physical systems, etc.) and to look for methods to realize them. The framework, called a Brouwer machine, is inspired by previous research in design theory and modeling, with its roots in the constructivist mathematics of intuitionism. The dual constructivist perspective we describe offers the possibility to create novelty both in terms of the types of objects and the methods for constructing objects. More generally, the theoretical work on which Brouwer machines are based is called imaginative constructivism. Based on the framework and the theory, we discuss many paradigms and techniques omnipresent in AI research and their merits and shortcomings for modeling aspects of design, as described by imaginative constructivism. To demonstrate and explain the type of creative process expressed by the notion of a Brouwer machine, we compare this concept with a system using genetic algorithms for scientific law discovery.

Suggested Citation

  • Akın Kazakçı, 2014. "Conceptive Artificial Intelligence: Insights from design theory," Post-Print hal-00969305, HAL.
  • Handle: RePEc:hal:journl:hal-00969305
    Note: View the original document on HAL open archive server: https://hal-mines-paristech.archives-ouvertes.fr/hal-00969305
    as

    Download full text from publisher

    File URL: https://hal-mines-paristech.archives-ouvertes.fr/hal-00969305/document
    Download Restriction: no

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:hal-00969305. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (CCSD). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.