This paper deals with an autonomous Tops cognitive network management architecture which aims at achieving inter-network (horizontal) and inter-layer (vertical) cross-optimization.The proposed architecture is based on the so-called Cognitive Managers transparently embedded in properly selected network nodes.The core of each Cognitive Manager are th
Objective to determine the scientificmethodological foundations of anticorruption policy.Methods dialectical approach to cognition of social phenomena allows to explore the combination of objective and subjective factors influencing the formation and implementation of anticorruption policy.The author39s model of anticorruption policy is based on th
Deep Learning achieves state-of-the-art results in many domains, yet its black-box nature limits its application to real-world contexts.An intuitive way to improve the interpretability of Deep Learning models is by explaining their decisions with similar cases.However, case-based Tops explanations cannot be used in contexts where the data exposes p