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.
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Table of Contents
1. Introduction to Information Physics 1.1 Dynamical systems1.2 Information representation1.3 Information source and recipient1.4 Information gate1.5 Information perception1.6 Information scenarios1.7 Information channel
2. Classical Physics Information Analogies 2.1 Electrics information analogies 2.2 Magnetic information analogies 2.3 Information elements2.4 Extended information elements 2.5 Information mem-elements
3. Information circuits3.1 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 observers4.4 Composition of quantum objects4.5 Mixture of partial quantum information4.6 Time-varying quantum objects 4.7 Quantum information coding and decoding 4.8 Quantum data flow rate4.9 Holographic approach to phase parameters4.10 Two (non-) distinguished quantum subsystems 4.11 Quantum information gate4.12 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 strength5.10 Quantum node6. Composition rules of quantum subsystems6.1 Connected subsystems6.2 Disconnected subsystems6.3 Coexisted subsystems6.4 Symmetrically disconnected subsystems6.5 Symmetrically competing subsystems6.6 Interactions with an environment6.7 Illustrative examples
7. Applicability of quantum models7.1 Quantum processes7.2 Quantum model of hierarchical networks7.3 Time-varying quantum systems7.4 Quantum information gyrator7.5 Quantum transfer functions
8. Extended quantum models8.1 Ordering models8.2 Incremental models8.3 Inserted models}8.4 Intersectional extended models
9. Complex adaptive systems 9.1 Basic agent of smart services9.2 Smart resilient cities9.3 Intelligent transport systemts9.4 Ontology and multiagent technologies
10. Conclusion
