Информационно-технологические особенности контрактных отношений рыночных объектов (субъектов)
The article considers reputation risk conditions and probability of its demonstration in the situation when the initiator of dismissal is both a principal and an agent; the article introduces the reputation risk model and actions, contributing to prevention of this phenomenon within an enterprise.
The problem of search pertinence increasing with a low time-complexity is one of the major research issues in Computer Science. Semantic search as an alternative solution to this problem has a high time complexity. This paper discusses the use of agent-based approach to reduce the time complexity of constructing semantic indexes used for searching.
The article presents the development of the ontology for a multi-agent subsystem analysing user posts in social networks in order to identify security threats to society. The testing of multi-agent subsystem using the developed ontology is described.
The history of research in ﬁnance and economics has been widely impacted by the ﬁeld of Agent-based Computational Economics (ACE). While at the same time being popular among natural science researchers for its proximity to the successful methods of physics and chemistry for example, the ﬁeld of ACE has also received critics by a part of the social science community for its lack of empiricism. Yet recent trends have shifted the weights of these general arguments and poten- tially given ACE a whole new range of realism. At the base of these trends are found two present-day major scientiﬁc breakthroughs: the steady shift of psychology towards a hard science due to the advances of neuropsychology, and the progress of reinforcement learning due to increasing computational power and big data. We outline here the main lines of a computational research study where each agent would trade by reinforcement learning.
The problem of search pertinence increasing with a low timecomplexity is one of the major research issues in Computer Science. Semantic search as an alternative solution to this problem has a high time complexity. This paper describes the use of agent-based approach to reduce the time complexity of constructing semantic indexes used for searching.
The paper examines the structure, governance, and balance sheets of state-controlled banks in Russia, which accounted for over 55 percent of the total assets in the country's banking system in early 2012. The author offers a credible estimate of the size of the country's state banking sector by including banks that are indirectly owned by public organizations. Contrary to some predictions based on the theoretical literature on economic transition, he explains the relatively high profitability and efficiency of Russian state-controlled banks by pointing to their competitive position in such functions as acquisition and disposal of assets on behalf of the government. Also suggested in the paper is a different way of looking at market concentration in Russia (by consolidating the market shares of core state-controlled banks), which produces a picture of a more concentrated market than officially reported. Lastly, one of the author's interesting conclusions is that China provides a better benchmark than the formerly centrally planned economies of Central and Eastern Europe by which to assess the viability of state ownership of banks in Russia and to evaluate the country's banking sector.
The paper examines the principles for the supervision of financial conglomerates proposed by BCBS in the consultative document published in December 2011. Moreover, the article proposes a number of suggestions worked out by the authors within the HSE research team.