Variation Principle in Informational Macrodynamics

The Variation Principle In Informational Macrodynamics (VP) introduces the process' integral information measure, which has a distinctive difference from traditional information approaches that use an entropy function. The VP's minimax mathematical mechanisms formalize the regularities of the cooperative informational dynamics, connecting randomness and regularities, shastic and determinism, reversibility and irreversibility, symmetry and nonsymmetry, stability and instability, regular and chaotic dynamics, thermodynamics and informational dynamics, time-reversible and time-irreversible processes, reveals the information dynamic mechanisms of evolution and development.
The mathematical formalisms and methods, implemented in the forms of computer models, algorithms and programs, provide new general tools for Information Systems' Modeling in such areas as biology, intelligent systems, computer and information technology, including communications, data modeling and data management.
Variation Principle In Informational Macrodynamics, with its examples and applications, will meet the needs of a professional audience composed of researchers and practitioners in industry, as well as graduate-level students in computer science, mathematics and engineering.

A computer scientist and specialist in systems analysis and modeling, Lerner defines information macrodynamics as a theory and computer- based methodology for describing and improving communication in such areas as thinking, intelligent processes, communications, and management. He reviews its basic results, demonstrates the formal mechanism and information language for revealing the informational dynamic regularities, and describes models and implementation for its actual application. He also surveys applications in intelligence systems, macroeconomics, and biological systems. Annotation ©2003 Book News, Inc., Portland, OR