Information Physics
Physics-Information and Quantum Analogies for Complex Systems Modeling
- 1st Edition - June 5, 2021
- Latest edition
- Author: Miroslav Svitek
- Language: English
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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Description
Description
Key features
Key features
- Provides readers with an understanding of the analogies between very sophisticated theories of electrical circuits and currently underdeveloped information circuits, including capturing positive and negative links, as well as serial and parallel ordering of information blocks
- Integrates coverage of quantum models of complex systems using wave probabilistic functions which extend the classical probability description by phase parameters that allow researchers to model such properties as entanglement, superposition and others
- Provides readers with illustrative examples of how to use the presented theories of complex systems in specific cases such as hierarchical systems, cooperation of a team of experts, the lifecycle of the company, and the link between short and long-term memory
Readership
Readership
Table of contents
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 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
Product details
Product details
- Edition: 1
- Latest edition
- Published: June 14, 2021
- Language: English
About the author
About the author
MS