Information Systems Analysis and Modeling: An Informational Macrodynamics Approach
Informational Macrodynamics (IMD) presents the unified information systemic approach with common information language for modeling, analysis and optimization of a variety of interactive processes, such as physical, biological, economical, social, and informational, including human activities.
Comparing it with thermodynamics, which deals with transformation energy and represents a theoretical foundation of physical technology, IMD deals with transformation information, and can be considered a theoretical foundation of Information Computer Technology (ICT). ICT includes but is not limited to applied computer science, computer information systems, computer and data communications, software engineering, and artificial intelligence. In ICT, information flows from different data sources, and interacts to create new information products. The information flows may interact physically or via their virtual connections, initiating an information dynamic process that can be distributed in space.
As in physics, a problem is understanding general regularities of the information processes in terms of information law, for the engineering and technological design, control, optimization, and development of computer technology, operations, manipulations, and management of real information objects.
Information Systems Analysis and Modeling: An Informational Macrodynamics Approach belongs to an interdisciplinary science that represents the new theoretical and computer-based methodology for system informational description and improvement, including various activities in such interdisciplinary areas as thinking, intelligent processes, management, and other nonphysical subjects with their mutual interactions, informational superimpositions, and the information transferred between interactions.
Information Systems Analysis and Modeling: An Informational Macrodynamics Approach can be used as a textbook or secondary text in courses on computer science, engineering, business, management, education, and psychology and as a reference for research and industry.
What people are saying - Write a review
We haven't found any reviews in the usual places.
MATHEMATICAL FOUNDATIONS OF INFORMATIONAL
INFORMATION SYSTEMS MODELING
INFORMATIONPHYSICAL MODELS AND ANALOGIES
2 other sections not shown
Other editions - View all
Information Systems Analysis and Modeling: An Informational Macrodynamics ...
Vladimir S. Lerner
No preview available - 2012
analogy applied channel capacity characterized code word cognitive complexity condition cone connection considered consolidation control functions cooperative coordinate system corresponding created decreasing defined determined differential differential entropy diffusion dimension discrete interval discrete moments distributed dt dt dynamic eigenvalues eigenvectors elements encoding energy entropy functional entropy production equal equation evaluation geometrical Hamiltonian hierarchical identification imaginary information IMD model IN's increment information entropy information flows information mass information structure Informational Geometry initial integral interactions invariant irreversible kinetics macro macrodynamics macromodel macrostates macrostructures macrosystem Marcovian mathematical matrix maximal measure methodology microlevel minimal needle controls negentropy node object obtain operator OPMC optimal code optimal control parameters phase phase speeds physical probability probability distributions problem random process relations represents result rotation satisfies sequence simulation solution space speed stochastic subscales subsystems symbols trajectories transferring transformation triplet uncertainty vector