The biography and correspondence of Chuprov are additionally based on many archival sources and newspaper articles and his work is critically described. Becoming a mathematician, he nevertheless stressed the ties between statistics, logic and philosophy without due regards to mathematics. Then, mostly due to his long correspondence with Markov, he became mathematically oriented. Without abandoning statistics or its applications, he had been partly successful in uniting the Biometric school and the Continental direction of statistics. Nowadays, Chuprov is largely forgotten, to a large extent because the history of statistics in general is mostly neglected.
This book studies Vasily Kandinsky's (1866-1944) pre-1908 figurative art that formed the basis for his later abstractions. It analyzes many published and unpublished facts of the artist's life and work and brings together numerous historical comparative data from painting, literature, the social sciences, ethnography, folklore, esthetics, and philosophy. This study penetrates deeply into Kandinsky's inner world and breaks new ground by interpreting the artist's enigmatic early imagery as his personal many-layered symbolism that expresses his complex personality, his internal responses to Russian and Western European life and culture, and his quest for spiritual truths.
Looking at the alternatives to Stalin's reform program that had such tragic outcomes, this snappy, readable book, this will be an insightful text for economic and political historians with an interest in Russia.
This book examines the interrelations between Russian and European economics from the early 19th century to the present. It analyzes how Western economic thinking, such as classical economics and the marginal revolution, influenced Russian economic thinking and how Western economic ideas were modified and adapted to better reflect the specific Russian circumstances of the time. Moreover, the contributions in this book show how these modified ideas also influenced Western economists at the end of the 19th century, when Russian economics had reached the stage of professionalism and joined the international discourse on the discipline. Written by an international selection of respected experts, this book provides an overview of the most influential Russian economists and covers a wide range of topics such as the marginal revolution, the specific influence of Marxism, the evolution of mathematics and statistics in Russia in the 1890s–1920s, and the unique experience of building a planned economy in the Soviet Union. It is intended for all scholars and students who are interested in the history of economic thought.
The collapse of the Union of Soviet Socialist Republic at the end of the 1980’s was conceived as a victory for capitalist democracy. Here, Vincent Barnett provides the first comprehensive account of the historical development of Russian and Soviet economic thought across the nineteenth and twentieth centuries, and considers its future in the twenty-first century. Utilizing an extensive range of historical sources, Barnett examines the different strands of thought, including classical, neoclassical, historical, socialist, liberal and Marxian schools. He traces their influence, and the impact their ideas had on shaping policies. An excellent addition to the Routledge History of Economic Thought series, this book covers pre-1870, Tsarist economics, the late Tsarist period, the impact of the war, Bolshevik economics, Stalinist economics, Russian economics after 1940. Incorporating a detailed timeline of the most significant Russian economists work and analyzing the effects of historical discontinuities on the institutional structure of Russian economics as a discipline, Barnett delivers an essential text for postgraduates and professionals interested in economic history and the evolution of Russian economic thought.
This book is a consequence of the international meeting organized in Marseilles in November 2018 devoted to the aftermath of the Great War for mathematical communities. It features selected original research presented at the meeting offering a new perspective on a period, the 1920s, not extensively considered by historiography. After 1918, new countries were created, and borders of several others were modified. Territories were annexed while some countries lost entire regions. These territorial changes bear witness to the massive and varied upheavals with which European societies were confronted in the aftermath of the Great War. The reconfiguration of political Europe was accompanied by new alliances and a redistribution of trade – commercial, intellectual, artistic, military, and so on – which largely shaped international life during the interwar period. These changes also had an enormous impact on scientific life, not only in practice, but also in its organization and communication strategies. The mathematical sciences, which from the late 19th century to the 1920s experienced a deep disciplinary evolution, were thus facing a double movement, internal and external, which led to a sustainable restructuring of research and teaching. Concomitantly, various areas such as topology, functional analysis, abstract algebra, logic or probability, among others, experienced exceptional development. This was accompanied by an explosion of new international or national associations of mathematicians with for instance the founding, in 1918, of the International Mathematical Union and the controversial creation of the International Research Council. Therefore, the central idea for the articulation of the various chapters of the book is to present case studies illustrating how in the aftermath of the war, many mathematicians had to organize their personal trajectories taking into account the evolution of the political, social and scientific environment which had taken place at the end of the conflict.
This volume constitutes the refereed proceedings of the 4th International Conference on Digital Transformation and Global Society, DTGS 2019, held in St. Petersburg, Russia, in June 2019. The 56 revised full papers and 9 short papers presented in the volume were carefully reviewed and selected from 194 submissions. The papers are organized in topical sections on e-polity: governance; e-polity: politics online; e-city: smart cities and urban planning; e-economy: online consumers and solutions; e-society: computational social science; e-society: humanities and education; international workshop on internet psychology; international workshop on computational linguistics.
Russian novels, poetry and ballet put the country squarely in the European family of cultures and yet there is something different about this country, especially in terms of its political culture. What makes Russia different? Maxim Trudolyubov uses private property as a lens to highlight the most important features that distinguish Russia as a political culture. In many Western societies, private property has acted as the private individual’s bulwark against the state; in Russia, by contrast, it has mostly been used by the authorities as a governance tool. Nineteenth-century Russian liberals did not consider property rights to be one of the civil causes worthy of defending. Property was associated with serfdom, and even after the emancipation of the serfs the institution of property was still seen as an attribute of retrograde aristocracy and oppressive government. It was something to be destroyed – and indeed it was, in 1917. Ironically, it was the Soviet Union that, with the arrival of mass housing in the 1960s, gave the concept of private ownership a good name. After forced collectivization and mass urbanization, people were yearning for a space of their own. The collapse of the Soviet ideology allowed property to be called property, but not all properties were equal. You could own a flat but not an oil company, which could be property on paper but not in reality. This is why most Russian entrepreneurs register their businesses in offshore jurisdictions and park their money abroad. This fresh and highly original perspective on Russian history will be of great interest to anyone who wants to understand Russia today.
Intelligent systems are necessary to handle modern computer-based technologies managing information and knowledge. This book discusses the theories required to help provide solutions to difficult problems in the construction of intelligent systems. Particular attention is paid to situations in which the available information and data may be imprecise, uncertain, incomplete or of a linguistic nature. The main aspects of clustering, classification, summarization, decision making and systems modeling are also addressed. Topics covered in the book include fundamental issues in uncertainty, the rapidly emerging discipline of information aggregation, neural networks, Bayesian networks and other network methods, as well as logic-based systems.
