Complex systems:
This book, first published in 2000, explores the exciting field of complexity. It features in-depth coverage of important theoretical areas, including fractals, chaos, non-linear dynamics, artificial life and self-organization. It also provides overviews of complexity in several applied areas, inclu...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2000
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| Online-Zugang: | BSB01 FHN01 Volltext |
| Zusammenfassung: | This book, first published in 2000, explores the exciting field of complexity. It features in-depth coverage of important theoretical areas, including fractals, chaos, non-linear dynamics, artificial life and self-organization. It also provides overviews of complexity in several applied areas, including parallel computation, control systems, neural systems and ecosystems. Some of the properties that best characterize complex systems, including algorithmic richness, non-linearity and abundant interactions between components are examined. In this way the book draws out themes, especially the ideas of connectivity and natural computation, that reveal deep, underlying similarities between phenomena that have formerly been treated as completely distinct. The idea of natural computation is particularly rich in fresh approaches applicable to both biology and computing. Analogies such as the DNA code as life's underlying program, or organisms as automata, are very compelling. Conversely, biologically inspired ideas such as cellular automata, genetic algorithms and neural networks are at the forefront of advanced computing |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
| Beschreibung: | 1 online resource (v, 413 pages) |
| ISBN: | 9780511758744 |
| DOI: | 10.1017/CBO9780511758744 |
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| 505 | 8 | 0 | |g 1 |t Introduction |r T.R.J. Bossomaier and D.G. Green |g 2 |t Self-organisation in complex systems |r D.G. Green |g 3 |t Network evolution and the emergence of structure |r D.A. Seeley |g 4 |t Artificial life: growing complex systems |r Z. Aleksic |g 5 |t Deterministic and random fractals |r John E. Hutchinson |g 6 |t Non-linear dynamics |r D.E. Stewart and R.L. Dewar |g 7 |t Non-linear control systems |r M.R. James |g 8 |t Parallel computers and complex systems |r G.C. Fox and P.D. Coddington |g 9 |t Are ecosystems complex systems? |r R.H. Bradbury, D.G. Green and N. Snoad |g 10 |t Complexity and neural networks |r Terry Bossomaier |
| 520 | |a This book, first published in 2000, explores the exciting field of complexity. It features in-depth coverage of important theoretical areas, including fractals, chaos, non-linear dynamics, artificial life and self-organization. It also provides overviews of complexity in several applied areas, including parallel computation, control systems, neural systems and ecosystems. Some of the properties that best characterize complex systems, including algorithmic richness, non-linearity and abundant interactions between components are examined. In this way the book draws out themes, especially the ideas of connectivity and natural computation, that reveal deep, underlying similarities between phenomena that have formerly been treated as completely distinct. The idea of natural computation is particularly rich in fresh approaches applicable to both biology and computing. Analogies such as the DNA code as life's underlying program, or organisms as automata, are very compelling. Conversely, biologically inspired ideas such as cellular automata, genetic algorithms and neural networks are at the forefront of advanced computing | ||
| 650 | 4 | |a Künstliche Intelligenz | |
| 650 | 4 | |a Chaotic behavior in systems | |
| 650 | 4 | |a Computational complexity | |
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Datensatz im Suchindex
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| author2 | Bossomaier, Terry R. J. Green, David G. 1949- |
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| author_additional | T.R.J. Bossomaier and D.G. Green D.G. Green D.A. Seeley Z. Aleksic John E. Hutchinson D.E. Stewart and R.L. Dewar M.R. James G.C. Fox and P.D. Coddington R.H. Bradbury, D.G. Green and N. Snoad Terry Bossomaier |
| author_facet | Bossomaier, Terry R. J. Green, David G. 1949- |
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| bvnumber | BV043945064 |
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| contents | Introduction Self-organisation in complex systems Network evolution and the emergence of structure Artificial life: growing complex systems Deterministic and random fractals Non-linear dynamics Non-linear control systems Parallel computers and complex systems Are ecosystems complex systems? Complexity and neural networks |
| ctrlnum | (ZDB-20-CBO)CR9780511758744 (OCoLC)849876720 (DE-599)BVBBV043945064 |
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| dewey-ones | 003 - Systems |
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| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| doi_str_mv | 10.1017/CBO9780511758744 |
| format | Electronic eBook |
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| spelling | Complex systems edited by Terry R.J. Bossomaier and David G. Green Cambridge Cambridge University Press 2000 1 online resource (v, 413 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) 1 Introduction T.R.J. Bossomaier and D.G. Green 2 Self-organisation in complex systems D.G. Green 3 Network evolution and the emergence of structure D.A. Seeley 4 Artificial life: growing complex systems Z. Aleksic 5 Deterministic and random fractals John E. Hutchinson 6 Non-linear dynamics D.E. Stewart and R.L. Dewar 7 Non-linear control systems M.R. James 8 Parallel computers and complex systems G.C. Fox and P.D. Coddington 9 Are ecosystems complex systems? R.H. Bradbury, D.G. Green and N. Snoad 10 Complexity and neural networks Terry Bossomaier This book, first published in 2000, explores the exciting field of complexity. It features in-depth coverage of important theoretical areas, including fractals, chaos, non-linear dynamics, artificial life and self-organization. It also provides overviews of complexity in several applied areas, including parallel computation, control systems, neural systems and ecosystems. Some of the properties that best characterize complex systems, including algorithmic richness, non-linearity and abundant interactions between components are examined. In this way the book draws out themes, especially the ideas of connectivity and natural computation, that reveal deep, underlying similarities between phenomena that have formerly been treated as completely distinct. The idea of natural computation is particularly rich in fresh approaches applicable to both biology and computing. Analogies such as the DNA code as life's underlying program, or organisms as automata, are very compelling. Conversely, biologically inspired ideas such as cellular automata, genetic algorithms and neural networks are at the forefront of advanced computing Künstliche Intelligenz Chaotic behavior in systems Computational complexity Fractals Artificial intelligence Komplexes System (DE-588)4114261-5 gnd rswk-swf 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content Komplexes System (DE-588)4114261-5 s 2\p DE-604 Bossomaier, Terry R. J. edt Green, David G. 1949- edt Erscheint auch als Druckausgabe 978-0-521-04371-7 Erscheint auch als Druckausgabe 978-0-521-46245-7 https://doi.org/10.1017/CBO9780511758744 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Complex systems Introduction Self-organisation in complex systems Network evolution and the emergence of structure Artificial life: growing complex systems Deterministic and random fractals Non-linear dynamics Non-linear control systems Parallel computers and complex systems Are ecosystems complex systems? Complexity and neural networks Künstliche Intelligenz Chaotic behavior in systems Computational complexity Fractals Artificial intelligence Komplexes System (DE-588)4114261-5 gnd |
| subject_GND | (DE-588)4114261-5 (DE-588)4143413-4 |
| title | Complex systems |
| title_alt | Introduction Self-organisation in complex systems Network evolution and the emergence of structure Artificial life: growing complex systems Deterministic and random fractals Non-linear dynamics Non-linear control systems Parallel computers and complex systems Are ecosystems complex systems? Complexity and neural networks |
| title_auth | Complex systems |
| title_exact_search | Complex systems |
| title_full | Complex systems edited by Terry R.J. Bossomaier and David G. Green |
| title_fullStr | Complex systems edited by Terry R.J. Bossomaier and David G. Green |
| title_full_unstemmed | Complex systems edited by Terry R.J. Bossomaier and David G. Green |
| title_short | Complex systems |
| title_sort | complex systems |
| topic | Künstliche Intelligenz Chaotic behavior in systems Computational complexity Fractals Artificial intelligence Komplexes System (DE-588)4114261-5 gnd |
| topic_facet | Künstliche Intelligenz Chaotic behavior in systems Computational complexity Fractals Artificial intelligence Komplexes System Aufsatzsammlung |
| url | https://doi.org/10.1017/CBO9780511758744 |
| work_keys_str_mv | AT bossomaierterryrj complexsystems AT greendavidg complexsystems |