Information Physics : Physics-Information and Quantum Analogies for Complex Systems Modeling

Information Physics: Physics-Information and Quantum Analogies for Complex Modeling presents a new theory of complex systems that uses analogy across various aspects of physics, including electronics, magnetic circuits and quantum mechanics. The book explains the quantum approach to system theory that can be understood as an extension of classical system models. The main idea is that in many complex systems there are incomplete pieces of overlapping information that must be strung together to find the most consistent model. This incomplete information can be understood as a set of non-exclusive observer results. Because they are non-exclusive, each observer registers different pictures of reality. Provides readers with an understanding of the analogies between very sophisticated theories of electrical circuits and currently underdeveloped information circuits, including capturing positive and negative links, as well as serial and parallel ordering of information blocks Integrates coverage of quantum models of complex systems using wave probabilistic functions which extend the classical probability description by phase parameters that allow researchers to model such properties as entanglement, superposition and others Provides readers with illustrative examples of how to use the presented theories of complex systems in specific cases such as hierarchical systems, cooperation of a team of experts, the lifecycle of the company, and the link between short and long-term memory Front Cover Information Physics Copyright Page Contents About the author Preface Acknowledgment 1 Introduction to information physics 1.1 Dynamical system 1.2 Information representation 1.3 Information source and recipient 1.4 Information gate 1.5 Information perception 1.6 Information scenarios 1.7 Information channel 2 Classical physics–information analogies 2.1 Electrics–information analogies 2.2 Magnetic–information analogies 2.3 Information elements 2.4 Extended information elements 2.5 Information mem-elements 3 Information circuits 3.1 Telematics 3.2 Brain adaptive resonance 3.3 Knowledge cycle 4 Quantum physics–information analogies 4.1 Quantum events 4.2 Quantum objects 4.3 Two (non-)exclusive observers 4.4 Composition of quantum objects 4.5 Mixture of partial quantum information 4.6 Time-varying quantum objects 4.7 Quantum information coding and decoding 4.8 Quantum data flow rate 4.9 Holographic approach to phase parameters 4.10 Two (non-)distinguished quantum subsystems 4.11 Quantum information gate 4.12 Quantum learning 5 Features of quantum information 5.1 Quantization 5.2 Quantum entanglement 5.3 Quantum environment 5.4 Quantum identity 5.5 Quantum self-organization 5.6 Quantum interference 5.7 Distance between wave components 5.8 Interaction’s speed between wave components 5.9 Component strength 5.10 Quantum node 6 Composition rules of quantum subsystems 6.1 Connected subsystems 6.2 Disconnected subsystems 6.3 Coexisted subsystems 6.4 Symmetrically disconnected subsystems 6.5 Symmetrically competing subsystems 6.6 Interactions with an environment 6.7 Illustrative examples 7 Applicability of quantum models 7.1 Quantum processes 7.2 Quantum model of hierarchical networks 7.3 Time-varying quantum systems 7.4 Quantum information gyrator 7.5 Quantum transfer functions 8 Extended quantum models 8.1 Ordering models 8.2 Incremental models 8.3 Inserted models 8.4 Intersectional extended models 9 Complex adaptive systems 9.1 Basic agent of smart services 9.2 Smart resilient cities 9.3 Intelligent transport systems 9.4 Ontology and multiagent technologies 10 Conclusion Appendix A Mathematical supplement A1 Schrodinger wave function A2 Bohmian interpretation of wave functions A3 Gnostic theory A4 Heisenberg’s uncertainty limit A5 Wave multimodels theorem A6 Conditional mixture of quantum subsystems A7 Information bosons, fermions, and quarks A7.1 Information bosons with integer spin A7.2 Information fermions with a half-integer spin A7.3 Information quarks with a third-integer spin A8 Pure and mixed wave probabilistic states A9 Performance parameters A9.1 Tests of normality A9.2 Estimation of measuring system’s accuracy, reliability, and dependability A9.3 Known mean value and standard deviation A9.4 Known standard deviation and unknown mean value A9.5 Known mean value and unknown standard deviation A9.6 Unknown mean value and standard deviation A10 “M from N” filtering Bibliography References Index Back Cover "[P]resents a new theory of complex systems presented by using the analogy with various aspects of physics--electronics, magnetic circuits, and quantum mechanics. The key idea presented by Dr. Miroslav Svitek is the recognition of information flow and information content as the main quantities in informatics as, for example, electrical current and voltage are used in electrical engineering. With respect to this idea, the known mathematical instruments of electrical/magnetic circuit modeling can be applied to the modeling of complex information systems. Such an approach leads to better definition of an event's source that includes both an information content (quality of the information source) and an information flow (how the information source is distributed). Another result is the clear separation between an information source and an information recipient. The recipient sometimes is not able to process the transmitted information and it uses only its part. The presented model can consider such situations. ... [A]lso explains the quantum approach to system theory that can be understood as an extension of classical system models. The main idea is that in many complex systems there are a lot of incomplete pieces of overlapping information that must be composed together to find the best consistent model for the while. The incomplete information can be understood as a set of nonexclusive observers' results--each of them represents the reality through its limited capabilities. Because they are nonexclusive, each observer registers different pictures of the reality. Quantum models with information pieces can be interconnected in serial, parallel, and feedback ordering. They can also be time-varying with a lot of interesting features such as entanglement, emergency, or self-organization. Dr. Svitek presents the ways in which such mathematical instruments can be applied to many fields, including the human sciences"--Page 4 of cover __Information Physics: Physics-Information and Quantum Analogies for Complex Modeling__