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Information Physics: Physics-Information and Quantum Analogies for Complex Modeling presents a new theory of complex systems that uses analogy across various aspects of physic… Read more
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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 scenarios
1.7 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 information
4.6 Time-varying quantum objects 4.7 Quantum information coding and decoding
4.8 Quantum data flow rate4.9 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 systemts
9.4 Ontology and multiagent technologies
10. Conclusion
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