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
Link To Document :
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