Research in automation focuses on systems which are capable of solving very complex tasks and problems. Artificial Intelligence and especially Cognitive Science have brought remarkable successes; however, in some areas the boarders of feasibility and further extension are reached. Compared to human intelligence the range of capabilities of the solutions is still modest. In the following we will argue why we see the necessity to introduce a novel approach for creating models, which possibilities and tools computer engineering can offer, why a psychoanalytical template is considered meaningful, and which open problems could be tackled or even broken through with this approach, respectively. The article is based on comprehensive research results in the course of several research projects including a European one. Involved persons originate from a number of research institutions in Austria, South Africa, and Canada.

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Abstract-Modern intelligent control systems for building automation, ambient living or surveillance control have to deal with upcoming requirements like increasing complexity of sensor data, or supporting human beings at their jobs. Therefore the system has to decide on actions taken in case of unforeseen situations. The most complex as well as effective decision making unit that is known, is represented by the human mind. Therefore it seems to be feasible to emulate the human mind in order to design a system for approximating its abilities. While in current Artificial Intelligence a number of generally accepted models, which rely on psychological or neurological theory, are known this paper will introduce a different approach. As a result of the interdisciplinary work of engineers and psychoanalysts a functional model of the human mind has been designed on the base of psychoanalytical theory. As result this work describes the first version of this model in detail and gives an overview on the psychoanalytical theory it relies on.

Reacting to unpredictable situations is one of the main problems in technical automation. This article introduces two developed framework for decision units for embodied autonomous agents. The models are compared to an existing architecture, the BDI architecture. The basis of the described model is using psychoanalytical concepts. Drives, emotions and wishes are the basics that build a reaction due to an existing situation. A concept of strategy planning, using the Freudian wish has been described. Using a concept of thinking of the humans psyche that develops during childhood, the difference between thing presentations and word presentations is shown and based upon that, a possible learning strategy is elaborated.