Spatial Management of Distributed Social Systems

Abstract

The paper describes the use of invented, developed, and tested in different countries of the high-level spatial grasp model and technology capable of solving important problems in large social systems, which may be represented as dynamic, self-evolving and distributed social networks. The approach allows us to find important solutions on a holistic level by spatial navigation and parallel pattern matching of social networks with active self-propagating scenarios represented in a special recursive language. This approach effectively hides inside the distributed and networked language implementation traditional system management routines, often providing hundreds of times shorter and simpler high-level solution code. The paper highlights the demands to efficient simulation of social systems, briefs the technology used, and provides some programming examples for solutions of practical problems.