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Artificial Intelligence is a vast research area, taking its basis from the natural world. Behind each of these research areas is a mathematical basis upon which a similarity between them may be found. Once this mathematical basis is found, it can be used to show why combining certain techniques yield better results than combining other and even show where(More)
— Knowledge about already experienced situations improves the quality of decision making. The outcomes of decisions in the past can be evaluated and used as a feedback mechanism. This enables the decision making unit is able to learn from past situations. In neuro-psychanalysis, this kind of data storage is called episodic memory. This work describes an(More)
The project ARS (Artificial Recognition System) develops a novel approach to decision making in the domain of building automation systems. Concepts from neurology, psychology, and psychoanalysis are used for this approach. We give a short overview about this decision making concept, the simulation environment, and results from simulation experiments. These(More)
The present work addresses the demand of context-aware and situation-aware environments in computational areas. A concept is introduced using emotional validation for the perception and decision making unit of a technical system. Giving a detailed definition of the used neuro-psychoanalytical model a possible implementation within such a system is(More)
The main challenge for autonomous mobile robots is to interpret a new situation correctly and to react appropriately in unknown environments. Autonomous mission completion in new territory requires flexible, adaptable, complex, but also fast action planning. For most applications behavior selection cannot be simply rule-based, requiring more sophisticated(More)
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(More)
  • R Lang
  • 1976
The medical orderly as a linguistic intermediary is performing the function of interpreter for which he has not been trained. However, it is found that he almost always achieves an adequate equivalence between the source language and the target language. One strength of the system is that the orderly has medical training but this is also a basic weakness(More)
To be able to develop reasoning units based on findings from sciences like behaviorism, psychology, neurology, and psychoanalysis, a test bed which is close to these sciences is needed. A possible approach is to use cognitive agents situated within a game of artificial life. Using such a simulated environment reduces the abstraction step from the origin(More)
Automatic segmentation and early diagnosis of brain tumor is a challenging problem in computer vision and it can provide possibility for pre-operative planning, and solve the problem such as low accurateness and time-consuming in traditional manual segmentation. Under the mentioned problems above, this paper put forward a new method: Based on traditional(More)
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