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It seems that you're in Germany. We have a dedicated site for Germany. In recent years, deep learning has fundamentally changed the landscapes of a number of areas in artificial intelligence, including speech, vision, natural language, robotics, and game playing. In particular, the striking success of deep learning in a wide variety of natural language processing NLP applications has served as a benchmark for the advances in one of the most important tasks in artificial intelligence. The book appeals to advanced undergraduate and graduate students, post-doctoral researchers, lecturers and industrial researchers, as well as anyone interested in deep learning and natural language processing.
By John C. Harsanyi and Reinhard Selten. The authors, two of the most prominent game theorists of this generation, have devoted a number of years to the development of the theory presented here, and to its economic applications. They propose rational criteria for selecting one particular uniformly perfect equilibrium point as the solution of any noncooperative game. And, because any cooperative game can be remodelled as a noncooperative bargaining game, their theory defines a one-point solution for any cooperative game as well.
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We experience relative humidity ourselves on a daily basis, often unknowingly. We apply its laws, for instance when we have a sauna, we increase the temperature of the air so much that the air absorbs a lot of moisture. We recognize the high influence of humidity upon our well-being. Everyone is familiar with the sensation where the mucous membrane of the nose dries up during the heating period during the winter, placing everyone at risk of catching viral infections or the unpleasant sultry feeling that we experience in the prevailing high humidity during the summer. Relative humidity plays a major role, not only in what we perceive to be comfortable but also for the condition of many things.