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Titlebook: Artificial Intelligence; 19th Russian Confere Sergei M. Kovalev,Sergei O. Kuznetsov,Aleksandr I. Conference proceedings 2021 Springer Natur

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Arbeitspolitik als rationalisierte Bindungew and promising technologies. Similarly, it is necessary for a firm to establish a technology development strategy through emerging technology forecast to gain a competitive edge while utilizing limited resources. Numerous methods of emerging technology trend analysis and forecast (TTAF) have been
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Unternehmen als Institution und Organisationisions and definitions of information granulation are explored. The formal definitions of the metagraph data model and metagraph agent model are given. The examples of data metagraph and metagraph rule agents are discussed. The concept of an active metagraph, aimed for the data metagraph model and m
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Permissive Arbeitsbeziehungen besonderer Artrobability. Expert evaluations may be incomplete or inconsistent with each other. A tool is needed to check the consistency of expertise..The paper proposes a theoretical-modal formalization of subjective and objective interpretations of probability. This allows us to formulate the criteria for the
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Arbeitspolitik als rationalisierte Bindungd planning approaches as they typically rely on full knowledge of the environment. To this end, we suggest utilizing the reinforcement learning approach when the agents first learn the policies that map observations to actions and then follow these policies to reach their goals. To tackle the challe
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Permissive Arbeitsbeziehungen besonderer Artcation of subdefinite computations together with probabilistic approaches is considered using the example of a histogram filter. It is shown that the use of this technology can significantly increase the computational efficiency by reducing the space in which the search for the position of the robot
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Unternehmen als Institution und Organisationrithms in order to use them with vision-based simultaneous localization and mapping (vSLAM) methods. We evaluate developed approaches in photo-realistic simulator in two modes: with ground-truth depths and neural network reconstructed depth maps as vSLAM input. We evaluate standard metrics in order
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