• DocumentCode
    666777
  • Title

    The current state of psychoanalytically-inspired AI

  • Author

    Dietrich, David ; Schaat, Samer ; Bruckner, Dietmar ; Doblhammer, Klaus ; Fodor, Gabor

  • Author_Institution
    Inst. of Comput. Technol., Vienna Univ. of Technol., Vienna, Austria
  • fYear
    2013
  • fDate
    10-13 Nov. 2013
  • Firstpage
    6666
  • Lastpage
    6671
  • Abstract
    Complexity of technology is constantly increasing; for the field of automation this means that economic considerations dictate a need for corresponding measures. Artificial intelligence boasts noteworthy successes in this area; however, its achievements appear modest when compared to the faculties of human intelligence. This paper will demonstrate that a new modeling approach is required via possibilities offered by the mindset and tools of computer technology, thereby demonstrating why a psychoanalytic approach seems sensible and necessary. The paramount goal of the research introduced in the following is a formal approach to describing the human psyche based on the neuro- symbolic and neuronal functional layers. Questions associated with this approach include: To what extent can the psychoanalytic model be confirmed by computer technology and the possibility of simulation? To what extent is an axiomatically developed terminology in psychoanalysis a prerequisite for the better integration of the natural-scientific way of thinking in psychoanalysis? The paper is based on the results of several fundamental research projects within the framework of ARS (Artificial Recognition System) which were funded in part nationally and in part by the EU.
  • Keywords
    artificial intelligence; neurophysiology; psychology; artificial recognition system; human psyche; neuro-symbolic functional layers; neuronal functional layers; psychoanalytic approach; psychoanalytically-inspired AI; Artificial intelligence; Brain modeling; Computational modeling; Computers; Drives; Hardware; Information theory; Artificial General Intelligence; Artificial Intelligence; Cognitive Architecture; Cognitive Automation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, IECON 2013 - 39th Annual Conference of the IEEE
  • Conference_Location
    Vienna
  • ISSN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2013.6700235
  • Filename
    6700235