Hypernetworks in the science of complex systems:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
London
Imperial College Press
[2013]
|
| Schriftenreihe: | World scientific series on complexity science
v. 3 |
| Schlagworte: | |
| Online-Zugang: | FAW01 FAW02 Volltext |
| Beschreibung: | Description based on print version record |
| Beschreibung: | 1 online resource (xviii, 330 pages) illustrations |
| ISBN: | 1306396441 1783264438 186094972X 1860949738 9781306396448 9781783264438 9781860949722 9781860949739 |
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| 245 | 1 | 0 | |a Hypernetworks in the science of complex systems |c Jeffrey Johnson |
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| 505 | 8 | |a The modern world is complex beyond human understanding and control. The science of complex systems aims to find new ways of thinking about the many interconnected networks of interaction that defy traditional approaches. Thus far, research into networks has largely been restricted to pairwise relationships represented by links between two nodes. This volume marks a major extension of networks to multidimensional hypernetworks for modeling multi-element relationships, such as companies making up the stock market, the neighborhoods forming a city, people making up committees, divisions making up companies, computers making up the internet, men and machines making up armies, or robots working as teams. This volume makes an important contribution to the science of complex systems by: (i) extending network theory to include dynamic relationships between many elements; (ii) providing a mathematical theory able to integrate multilevel dynamics in a coherent way; (iii) providing a new methodological approach to analyze complex systems; and (iv) illustrating the theory with practical examples in the design, management and control of complex systems taken from many areas of application | |
| 505 | 8 | |a 1. Introduction -- 2. Sets and relations -- 3. Hypergraphs and the Galois lattice -- 4. Simplicial complexes and Q-analysis -- 5. Backcloth and traffic: dynamics constrained by topology -- 6. Hypernetworks -- 7. Multilevel systems -- 8. Time, events, prediction and forecasting -- 9. Hypernetworks and design -- 10. Policy, design, planning and science -- 11. Notes and reflections | |
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| 650 | 4 | |a System theory | |
| 650 | 4 | |a Computational complexity | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |a Johnson, J |t (Jeffrey). Hypernetworks in the science of complex systems |
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Datensatz im Suchindex
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| author | Johnson, J., (Jeffrey) |
| author_facet | Johnson, J., (Jeffrey) |
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| author_sort | Johnson, J., (Jeffrey) |
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| contents | The modern world is complex beyond human understanding and control. The science of complex systems aims to find new ways of thinking about the many interconnected networks of interaction that defy traditional approaches. Thus far, research into networks has largely been restricted to pairwise relationships represented by links between two nodes. This volume marks a major extension of networks to multidimensional hypernetworks for modeling multi-element relationships, such as companies making up the stock market, the neighborhoods forming a city, people making up committees, divisions making up companies, computers making up the internet, men and machines making up armies, or robots working as teams. This volume makes an important contribution to the science of complex systems by: (i) extending network theory to include dynamic relationships between many elements; (ii) providing a mathematical theory able to integrate multilevel dynamics in a coherent way; (iii) providing a new methodological approach to analyze complex systems; and (iv) illustrating the theory with practical examples in the design, management and control of complex systems taken from many areas of application 1. Introduction -- 2. Sets and relations -- 3. Hypergraphs and the Galois lattice -- 4. Simplicial complexes and Q-analysis -- 5. Backcloth and traffic: dynamics constrained by topology -- 6. Hypernetworks -- 7. Multilevel systems -- 8. Time, events, prediction and forecasting -- 9. Hypernetworks and design -- 10. Policy, design, planning and science -- 11. Notes and reflections |
| ctrlnum | (OCoLC)869523735 (DE-599)BVBBV043036746 |
| dewey-full | 003 |
| dewey-hundreds | 000 - Computer science, information, general works |
| dewey-ones | 003 - Systems |
| dewey-raw | 003 |
| dewey-search | 003 |
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| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| indexdate | 2024-07-10T07:15:38Z |
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| isbn | 1306396441 1783264438 186094972X 1860949738 9781306396448 9781783264438 9781860949722 9781860949739 |
| language | English |
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| publishDate | 2013 |
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| spelling | Johnson, J., (Jeffrey) Verfasser aut Hypernetworks in the science of complex systems Jeffrey Johnson London Imperial College Press [2013] © 2013 1 online resource (xviii, 330 pages) illustrations txt rdacontent c rdamedia cr rdacarrier World scientific series on complexity science v. 3 Description based on print version record The modern world is complex beyond human understanding and control. The science of complex systems aims to find new ways of thinking about the many interconnected networks of interaction that defy traditional approaches. Thus far, research into networks has largely been restricted to pairwise relationships represented by links between two nodes. This volume marks a major extension of networks to multidimensional hypernetworks for modeling multi-element relationships, such as companies making up the stock market, the neighborhoods forming a city, people making up committees, divisions making up companies, computers making up the internet, men and machines making up armies, or robots working as teams. This volume makes an important contribution to the science of complex systems by: (i) extending network theory to include dynamic relationships between many elements; (ii) providing a mathematical theory able to integrate multilevel dynamics in a coherent way; (iii) providing a new methodological approach to analyze complex systems; and (iv) illustrating the theory with practical examples in the design, management and control of complex systems taken from many areas of application 1. Introduction -- 2. Sets and relations -- 3. Hypergraphs and the Galois lattice -- 4. Simplicial complexes and Q-analysis -- 5. Backcloth and traffic: dynamics constrained by topology -- 6. Hypernetworks -- 7. Multilevel systems -- 8. Time, events, prediction and forecasting -- 9. Hypernetworks and design -- 10. Policy, design, planning and science -- 11. Notes and reflections SCIENCE / System Theory bisacsh TECHNOLOGY & ENGINEERING / Operations Research bisacsh System theory Computational complexity Erscheint auch als Druck-Ausgabe Johnson, J (Jeffrey). Hypernetworks in the science of complex systems http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=689605 Aggregator Volltext |
| spellingShingle | Johnson, J., (Jeffrey) Hypernetworks in the science of complex systems The modern world is complex beyond human understanding and control. The science of complex systems aims to find new ways of thinking about the many interconnected networks of interaction that defy traditional approaches. Thus far, research into networks has largely been restricted to pairwise relationships represented by links between two nodes. This volume marks a major extension of networks to multidimensional hypernetworks for modeling multi-element relationships, such as companies making up the stock market, the neighborhoods forming a city, people making up committees, divisions making up companies, computers making up the internet, men and machines making up armies, or robots working as teams. This volume makes an important contribution to the science of complex systems by: (i) extending network theory to include dynamic relationships between many elements; (ii) providing a mathematical theory able to integrate multilevel dynamics in a coherent way; (iii) providing a new methodological approach to analyze complex systems; and (iv) illustrating the theory with practical examples in the design, management and control of complex systems taken from many areas of application 1. Introduction -- 2. Sets and relations -- 3. Hypergraphs and the Galois lattice -- 4. Simplicial complexes and Q-analysis -- 5. Backcloth and traffic: dynamics constrained by topology -- 6. Hypernetworks -- 7. Multilevel systems -- 8. Time, events, prediction and forecasting -- 9. Hypernetworks and design -- 10. Policy, design, planning and science -- 11. Notes and reflections SCIENCE / System Theory bisacsh TECHNOLOGY & ENGINEERING / Operations Research bisacsh System theory Computational complexity |
| title | Hypernetworks in the science of complex systems |
| title_auth | Hypernetworks in the science of complex systems |
| title_exact_search | Hypernetworks in the science of complex systems |
| title_full | Hypernetworks in the science of complex systems Jeffrey Johnson |
| title_fullStr | Hypernetworks in the science of complex systems Jeffrey Johnson |
| title_full_unstemmed | Hypernetworks in the science of complex systems Jeffrey Johnson |
| title_short | Hypernetworks in the science of complex systems |
| title_sort | hypernetworks in the science of complex systems |
| topic | SCIENCE / System Theory bisacsh TECHNOLOGY & ENGINEERING / Operations Research bisacsh System theory Computational complexity |
| topic_facet | SCIENCE / System Theory TECHNOLOGY & ENGINEERING / Operations Research System theory Computational complexity |
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