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

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