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

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

Authors

Miroslav Svitek Professor, Czech Technical University, Prague, Czech Republic. Dr. Miroslav Svitek is a full professor in Engineering Informatics at Faculty of Transportation Sciences, Czech Technical University in Prague. He has been the Dean of Faculty of Transportation Sciences, Czech Technical University. Since 2018, he has been a Visiting Professor in Smart Cities at University of Texas at El Paso, USA. The focus of his research includes complex system sciences and their practical applications to Intelligent Transport Systems, Smart Cities and Smart Regions. He is the author or co-author of more than 200 scientific papers and 10 books, including Quantum System Theory: Principles and Applications and Stochastic Processes: Estimation, Optimisation, and Analysis. He received his Ph.D. in radioelectronics at Faculty of Electrical Engineering, Czech Technical University. In 2005, he was been nominated as the extraordinary professor in applied informatics at Faculty of Natural Sciences, University of Matej Bel in Banska Bystrica, Slovak Republic. In 2008, Dr. Sv�tek was the first president of the Czech Smart City Cluster, and he is a member of the Engineering Academy of the Czech Republic. In 2006 - 2018, he served as President of the Association of Transport Telematics