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D. Dietrich, C. Brandstätter, K. Doblhammer, M. Fittner, G. Fodor, F. Gelbard, M. Huber, M. Jakubec, S. Kollmann, D. Kowarik, S. Schaat, A. Wendt, R. Widholm:
"Natural Scientific, Psychoanalytical Model of the Psyche for Simulation and Emulation";
2015; 182 pages.

Artificial intelligence delivers excellent results - for example in search functions on the internet, in the high performance achieved by modern robots, and in EU projects like SENSE [Bru 12], which provided exemplary implementations for the security of Krakow Airport in Poland. Nevertheless, there still exists no robot capable of preparing and serving a cup of coffee, and no kitchen monitoring system that can recognize a potentially dangerous situation for a child. We must not only ask ourselves - and thus evaluate - why such goals have not yet been reached around 60 years after the establishment of artificial intelligence, but we must produce new suggestions as to how they can be achieved using the knowledge we have today: High cognitive, human-like capabilities for machines allowing the execution of complex processes.
This report elucidates pivotal problems in cognitive research and presents an approach to a solution that shows great promise from the perspective of modern information and computer engineering. It is an approach that breaks completely new ground in artificial intelligence, with researchers no longer concentrating on individual neurological or mental phenomena, but instead developing, for the first time worldwide, a holistic model of the brain.2 The project neither intends to, nor could it ever lay claim to incorporating all phenomena of the brain or all of its capabilities, however; the term "holistic" in this sense means that our model of the brain is being developed on the basis of the psychoanalytical model concepts. This occurs primarily on the basis of the theoretical computer science concept of the layered model under incorporation of the hardware layer (thus differing markedly from many layered models in informatics). A further pillar of the development of the presented model is the method of Top-Down-Design used in natural science, wherein "Top" refers to the psyche with its unconscious, pre-conscious and conscious information in the primary and secondary processes. Beneath it lies the layer of neuro-symbolism, and beneath this is the description of the "hardware", i.e. the model of the purely physically described part of the system. This also means, however, that it will be possible in future to implement the model, described through functions, in robots or appropriate software agents; this step is scheduled to begin in 2016/17. The result that can be presented today is a highly extensive simulation program evaluated via use-cases, which are currently still simple but will be increasingly more intricate, thereby also allowing the progress of the entire research project to be gauged.
Work on the project has been proceeding at the Institute of Computer Technology at the Vienna University of Technology for the past 15 years under the direction of Prof. Dr. Dietmar Dietrich, in cooperation with various institutes around the world (South Africa, Canada, Spain, Portugal, Germany, etc.). Today, the project leader is Samer Schaat.

http://publik.tuwien.ac.at/files/PubDat_240983.pdf