This historically oriented conference is to be held according to the resolution of the Second International Conference on the History of Computers and Informatics in the Soviet Union and Russian Federation (SORUCOM 2011), successfully held in Velikiy Novgorod The topics are history of computers, history of creation of programming languages and systems, development of microelectronics, computers and education, computers and society, programming teams and organizations, notable events in the history of computer science and technology, scientific biographies, perspectives of computers and computer science, international sci tech cooperation, IT and social skills, other topics relevant to the conference scope

This book contains a collection of thoroughly refereed papers derived from the First IFIP WG 9.7 Conference on Soviet and Russian Computing, held in Petrozavodsk, Russia, in July 2006. The 32 revised papers were carefully selected from numerous submissions; many of them were translated from Russian. They reflect much of the shining history of computing activities within the former Soviet Union from its origins in the 1950s with the first computers used for military decision-making problems up to the modern period where Russian ICT grew substantially, especially in the field of custom-made programming.

A wide-ranging history of the algorithm. Bringing together the histories of mathematics, computer science, and linguistic thought, Language and the Rise of the Algorithm reveals how recent developments in artificial intelligence are reopening an issue that troubled mathematicians well before the computer age: How do you draw the line between computational rules and the complexities of making systems comprehensible to people? By attending to this question, we come to see that the modern idea of the algorithm is implicated in a long history of attempts to maintain a disciplinary boundary separating technical knowledge from the languages people speak day to day. Here Jeffrey M. Binder offers a compelling tour of four visions of universal computation that addressed this issue in very different ways: G. W. Leibniz’s calculus ratiocinator; a universal algebra scheme Nicolas de Condorcet designed during the French Revolution; George Boole’s nineteenth-century logic system; and the early programming language ALGOL, short for algorithmic language. These episodes show that symbolic computation has repeatedly become entangled in debates about the nature of communication. Machine learning, in its increasing dependence on words, erodes the line between technical and everyday language, revealing the urgent stakes underlying this boundary. The idea of the algorithm is a levee holding back the social complexity of language, and it is about to break. This book is about the flood that inspired its construction.