# PDF Information Path Functional and Informational Macrodynamics

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Laddas ned direkt. 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.

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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.

The opposite speeds of the process 4. While the ratio of the eigenvector to its eigenvalue holds the space vector. Hence, all parameters of the observer process are defined via the cutoff diffusion operator, and the observer covariant dynamics, emerge from the cutting fractions of Markov diffusion. The time-space movement illustrates Fig.

Conjugated processes 3. Verification of this condition reveals certain a posteriori probability at entanglement. The covariant dynamics, emerging from the cutting fractions of Markov diffusion, is a type of curved manifold known as a Riemannian symmetric space, where the space of diffusion tensor represents the covariance matrix in a Brownian motion. The max-min eventually limits both fractions along the trajectory. Illustration of the observer external and internal processes and holding information.

The shown external and internal intervals could have different time scale. On the way to entanglement, the controls minimizes the entropy speeds by imposing the VP constraint, which conserves the entropy carrying by the controls. The added free information joins the rotating extremal segments. The rotation, applied to each already ordered pairs of eigenvectors, equalizes their eigenvalues and binds them first in a double and then in a triple structure, which enfolds a minimal information, requested by the minimax.

Equal frequencies of complementary eigenvalues enable performing their cooperation through resonance[21]. Physical examples of emerging collective phenomena through active rotation are in [20]. The entanglement encloses the captured complimentary conjugated entropy fractions providing a source of an information unit. The impulse step-up action launches the unit formation, while its certain control step-down action finishes the unit formation bringing memory and energy from the interactive jump decorreling the entangled entropy.

This finite jump transits from uncertain Yes-logic to certain information No-logic, transferring the entangled entropy of observation to the forming information unit of elementary quantum bit.

Uncertain step-up logic does not require energy [19] like the probes of observable- virtual process, or a Media whose information is not observed yet. This potential uncertain logic belongs to sequential test-cuts before appearance of a priori certain logic, which becomes a part of forming the elementary information unit. The entanglement might connect two or three distinguished units with superimposing ebits, whose measurement memorizes their information. The Yes-No logic holds Bit-Participator in its forming as elementary information observer analogous to Wheeler Bit [6] created without any physical pre-law.

The curved control, binding two units in a doublet and cooperating its opposite directional information unit, forms a triplet as a minimal cooperative stable structure. Resonance of the equal frequencies of complementary eigenvalues also performs their cooperation in doublet and triplet. The IPF extremal trajectories describe the information macroprocess of the flows cooperating macrounits, which connects the averaged quantum microdynamics on the IPF extremals with classical Physical Statistical Physics and Thermodynamics in Observer.

The selective statistics of minimax probes, which minimize probes number, specify and distinct the considered observer macroprocess from that is not a selective observed. This is a physical thermodynamic process generating the information network IN Fig. The second kind brings an extreme to the path functional but does not support the sequential decrease, minimizing information speed by the end of forming the information unit. Such units might not be prepared to make optimal triple co-operations and generate the IN structures.

The third kind macroprocess, transforming energy-information with maximum of entropy production, which is destructive and does not support the observer stability, evolvement and evolution through the information network IN , while, holding the elementary triplet, it forms the objective information observer. These natural interactions routinely implement the conversion of pre-existence uncertainty to post interactive certainty through pre-interactive a priori and post-active a posteriori Bayesian probabilities.

Implementation of the variation principle requires compensation entropy production for the irreversibility by equivalent negentropy production, synchronized by Maxwell Demon[24]. On a primary quantum information level, it accomplishes the sequence of Yes-No, No-Yes actions following from the minimax at the cutoff [15].

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Such control models an interaction coming from natural physical process like earthquake others, as observable process, being uncertain for potential observer. These natural interactions are a source, creating objective observer with the elementary doublets and triplets. The triplet, carrying naturally born free information, enables use it for cooperation with other naturally born doublets —triplets. Here, the real posteriori part of the impulse brings information equivalent, which covers entropy cost sev and brings the real step-up control of a bordered next impulse.

Energy eev delivers the certain step-up control action of converting entropy to information. This energy compensates for that conserved in the entangled rotation, specifically by angular moment multiplied on angular speed during the time movement [10], which evaluates entropy sevo in Nats. The ratio determines a part of total information a oi cost for transforming entropy uoi.

This means, that real time course might be enough for excluding any other costs for conversion entropy in equivalent information. Information mass [14] of rotating cooperating units, acquiring energy after entanglement, models elementary particles mass, as well as their various collective formations at the curving knots as the IN nodes Fig.

The step-up cut jumps the curvature of the space-time distribution, initiating an attractive wave of cooperation.

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The potential equalization uncertainty-certainty requires the existence of the extreme process, heading for both equalization and creation of the information unit with maximum information speed. The extreme condition [10],[11] compensates for entropy production through the VP Hamiltonian, measuring integral speed of the cooperating information process, which actually performs Maxwell's Demon function at macrolevel.

The condition of the minimization of this speed imposed by the VP dynamic constraint 5. The IPF holds the generated primary free information that sequentially connects the pairs of states- units as doublets and the multiple doublets-triplets co-operations. Each information unit has its unique position in the time-spaced information dynamics, which defines the scale of both time- space and the exact location of each triple code in the IN.

Even though the code impulses are similar for each triplet, their time-space locations allows the discrimination of each code and its forming logics. The observer checks the acceptance of this code in IN Fig. Figure 2. The IN time-space information structure. The IN information cooperative force, requests this compensating information [12]. The decrease is an indication that the requested information, needed for growing and extension of the IN logic has been received, which is associated with surprises that observer obtains from the requested information it needs.

The observer identifies order and measure of his priorities like social, economic, others categories using quality of information concentrated within the IN node, assigned to this priority [16]. Each category of priority information builds its local IN emanating for the main IN.

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When the node quality is compensating by external information, the observer achieves this priority as unpredicted surprise; if it is not, the observer local IN requests for the new one. The observer logic with its timing hierarchy initiates external interaction, following observation, entanglement, generation information units, and the IN nodes, forming its multiple finite sizes knots Fig.

This logic time interval could be minimizes for the sequential interactions approaching speed of light. Finally, the irreversible time course generates information with both objective and subjective observers, which can overcome the information threshold between them on the path to intelligence. Observer computes its encoding information units in the information network IN code-logic to perform its integrating task through the self-generating program. As a result, the information path functional IPF collects these information units, while the IN performs logical computing operations using the doublet-triplet code.

Such operations, performed with the entangled memorized information units, model a quantum computation. A classical computation models the operations with classical information units, which observer cooperates from quantum information units and runs in the IN with these units. Observer kills uncertainty to get information. The selective actions are implemented via applying the considered stepwise controls with a feedback from the currently checked information density, requesting such spectrum information speed, which conveys the potential cooperation, needed to verify the chosen selection.

The time interval [15] of the control action predicts the needed selection, which is required to select the information that carries the requested information density. These processes, integrating by the IPF, express the observer cognition, which starts with creation of the elementary information unit with the memories at microlevel. The algorithm of multitasking intellectual network is in [30].

The introduced integral path functional information measure implements the minimax law of optimal extraction and consumption of information for complex interactions. Atomic physics and human knowledge, Wile y, New York, Mathematical foundations of quantum theor y, Princeton Universit y Press, Princeton, Episteme , It from bit.

## Read Information Path Functional And Informational Macrodynamics

Quantum Weirdness? It's All In Your Mind.

A new version of quantum theor y sweeps away the bizarre paradoxes of the microscopic world. The cost? Quantum information exists only in your imagination, Scientific American, 51, June Quantum Bayesianism at the Perimeter,arXiv. Solution to the variation problem for information path functional of a controlled random process functional, Journal of Mathematical Analysis and Applications,, Hidden stochastic, quantum and dynamic information of Markov diffusion process and its evaluation by an entrop y integral measure under the impulse control's actions, arXiv, Hidden information and regularities of information d ynamics I,2,3, arXiv, The information and its observer: external and internal information processes, information cooperation, and the origin of the observer intellect, arXiv,