NDLI: New approach for controlling complex processes. An introduction to the $5^{th}$ generation of AI

Content Provider	IEEE Xplore Digital Library
Author	Dietrich, D. Zucker, G.
Copyright Year	2008
Description	Author affiliation: Inst. of Comput. Technol., Vienna Univ. of Technol., Vienna (Dietrich, D.)
Abstract	In automation mechanical units are more and more replaced by electronic components. They contain sensors, actuators and information computing systems. The goal is to achieve higher process and product quality. That means, for example, to increase the performance by implementing more functionality. Systems become interconnected, which causes increased complexity - something that cannot easily be handled with traditional technological approaches. It is necessary to rethink existing approaches and find new solutions. These could be found in bionic models. Contemporary researchers like Mark Solms and Antonio R. Damasio build upon psychoanalysis, which could be such a new approach for engineers. The theories of psychoanalysis are widely unknown to engineers, still their methods, which originate from neurology, are partly similar to the methods of computer technology. It is merely the theoretical foundation of psychoanalysis, which is complex and at the start hard to grasp for an engineer. Cooperation between engineers and psychoanalysts thus has to overcome this hurdle before being successful. But if we want to conduct our scientific work consequently, it is high time that we get acquainted with psychoanalysis. The following paper wants to show how to install such cooperation and tries to outline the idea of a model that results from already existing collaboration.
Starting Page	12
Ending Page	17
File Size	252630
Page Count	6
File Format	PDF
ISBN	9781424415427
DOI	10.1109/HSI.2008.4581400
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-25
Publisher Place	Poland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computers automation Biological system modeling Computational modeling Psychology bionic model Brain modeling Brain models control of complex systems Artificial intelligence psychoanalysis
Content Type	Text
Resource Type	Article

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