Information Macrodynamics (IMD) belong to an interdisciplinary science
that represents a new theoretical and computer-based methodology for a
system informational descriptionand improvement, including various
activities in such areas as thinking, intelligent processes,
communications, management, and other nonphysical subjects with their
mutual interactions, informational superimposition, and theinformation
transferredbetweeninteractions. The IMD is based on the implementation
of a single concept by a unique mathematical principle and formalism,
rather than on an artificial combination of many arbitrary, auxiliary
concepts and/or postulates and different mathematical subjects, such as
the game, automata, catastrophe, logical operations theories, etc. This
concept is explored mathematically using classical mathematics as
calculus of variation and the probability theory, which are potent
enough, without needing to developnew, specifiedmathematical
systemicmethods. The formal IMD model automatically includes the related
results from other fields, such as linear, nonlinear, collective and
chaotic dynamics, stability theory, theory of information, physical
analogies of classical and quantum mechanics, irreversible
thermodynamics, andkinetics. The main IMD goal is to reveal the
information regularities, mathematically expressed by the considered
variation principle (VP), as a mathematical tool to extractthe
regularities and define the model, whichdescribes theregularities. The
IMD regularities and mechanisms are the results of the analytical
solutions and are not retained by logical argumentation, rational
introduction, and a reasonable discussion. The IMD's information
computer modeling formalism includes a human being (as an observer,
carrier and producer ofinformation), with a restoration of the model
during the objectobservation