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

Description

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. 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