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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...
Our project is a system to express emotions and record them on a long-term basis. In contrast to a lot of the research in the field of affective computing our project is not dedicated to enable machines to detect human emotions but to allow new input methods. This demo presents 'MyInnerLife', a physical input device to express and record emotions non-verbally.
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...
Taking up future challenges of AI has brought researchers to look for new scientific domains that can provide models, methods and solutions. Some of us found them in neuropsychoanalysis, a rather young discipline that brought together neurology and psychoanalysis. The authors believe that engineers can gain a lot from getting acquainted with the concepts and methods of this discipline, however uncommon...
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