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نویسندگان

  • Giancarlo Iannizzotto
  • Orazio Mirabella
  • Milos Manic
  • Sergiu-Dan Stan
  • Wojciech Froelich
  • Alicja Wakulicz-Deja
  • Andrzej Pulka
  • Radu Balan
  • Vistrian Maties
  • Kurt Derr
  • Paolo Buono
  • Leonidas Deligiannidis
  • Daniel McConnell
  • Christopher Vallee
  • Christian Richter
  • Marcus Fischer
  • Franz Irlinger
  • Tim C. Lueth
  • Peter Baranyi
  • Hiroaki Kuwahara
  • Tomoyuki Shimono
  • Kouhei Ohnishi
  • Jochen Ehnes
  • Elizabeth Chang
  • Rado Balan
  • Mircea-Bogdan Radac
  • Radu-Emil Precup
  • Stefan Preitl
  • Emil M. Petriu
  • Jozsef K. Tar
  • Kevin McCarty
  • Hao Yu
  • Bogdan Wilamowski
  • Zaiping Chen
  • Enzeng Dong
  • Chunxue Liu
چکیده

In AI, different bionic inspired theories on memory have gained ground. On the one hand neuronal networks are often used to realize learning systems. On the other hand psychology influences engineers by introducing the models of implicit and explicit memory. While neurology leaves out the question how mental functions emerge out of the brain structure, psychology classifies information but does not make a statement on its structure. This article presents a psychoanalytic inspired approach on information representation introduced within the ARS project. A short overview on the ARS model is given and the psychoanalytic theory behind information representation is presented. The developed technical concept is introduced and a use case for testing the model is defined.

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تاریخ انتشار 2009