Dynamics of Complex Interconnected Biological Systems:
Gespeichert in:
Weitere Verfasser: | , , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Boston, MA
Birkhäuser Boston
1990
|
Schriftenreihe: | Mathematical Modelling
6 |
Schlagworte: | |
Online-Zugang: | Volltext |
Beschreibung: | This volume contains the proceedings of the U.S. Australia workshop on Complex Interconnected Biological Systems held in Albany, Western Australia January 1-5, 1989. The workshop was jointly sponsored by the Department of Industry, Trade and Commerce (Australia), and the National Science Foundation (USA) under the US-Australia agreement. Biological systems are typically hard to study mathematically. This is particularly so in the case of systems with strong interconnections, such as ecosystems or networks of neurons. In the past few years there have been substantial improvements in the mathematical tools available for studying complexity. Theoretical advances include substantially improved understanding of the features of nonlinear systems that lead to important behaviour patterns such as chaos. Practical advances include improved modelling techniques, and deeper understanding of complexity indicators such as fractal dimension. Game theory is now playing an increasingly important role in understanding and describing evolutionary processes in interconnected systems. The strategies of individuals which affect each other's fitness may be incorporated into models as parameters. Strategies which have the property of evolutionary stabilty result from particular parameter values which may be the main feature of living determined using game theoretic methods. Since systems is that they evolve, it seems appropriate that any model used to describe such systems should have this feature as well. Evolutionary game theory should lead the way in the development of such methods |
Beschreibung: | 1 Online-Ressource (XII, 334 p) |
ISBN: | 9781468467840 9781468467864 |
DOI: | 10.1007/978-1-4684-6784-0 |
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Datensatz im Suchindex
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any_adam_object | |
author2 | Vincent, Thomas L. Mees, Alistair I. Jennings, Leslie S. |
author2_role | edt edt edt |
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discipline | Biologie Mathematik |
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spelling | Vincent, Thomas L. edt Dynamics of Complex Interconnected Biological Systems edited by Thomas L. Vincent, Alistair I. Mees, Leslie S. Jennings Boston, MA Birkhäuser Boston 1990 1 Online-Ressource (XII, 334 p) txt rdacontent c rdamedia cr rdacarrier Mathematical Modelling 6 This volume contains the proceedings of the U.S. Australia workshop on Complex Interconnected Biological Systems held in Albany, Western Australia January 1-5, 1989. The workshop was jointly sponsored by the Department of Industry, Trade and Commerce (Australia), and the National Science Foundation (USA) under the US-Australia agreement. Biological systems are typically hard to study mathematically. This is particularly so in the case of systems with strong interconnections, such as ecosystems or networks of neurons. In the past few years there have been substantial improvements in the mathematical tools available for studying complexity. Theoretical advances include substantially improved understanding of the features of nonlinear systems that lead to important behaviour patterns such as chaos. Practical advances include improved modelling techniques, and deeper understanding of complexity indicators such as fractal dimension. Game theory is now playing an increasingly important role in understanding and describing evolutionary processes in interconnected systems. The strategies of individuals which affect each other's fitness may be incorporated into models as parameters. Strategies which have the property of evolutionary stabilty result from particular parameter values which may be the main feature of living determined using game theoretic methods. Since systems is that they evolve, it seems appropriate that any model used to describe such systems should have this feature as well. Evolutionary game theory should lead the way in the development of such methods Mathematics Mathematical and Computational Biology Mathematical Modeling and Industrial Mathematics Applications of Mathematics Mathematik Chaos (DE-588)4191419-3 gnd rswk-swf Mathematisches Modell (DE-588)4114528-8 gnd rswk-swf Biologisches System (DE-588)4122930-7 gnd rswk-swf Biologie (DE-588)4006851-1 gnd rswk-swf Dynamisches System (DE-588)4013396-5 gnd rswk-swf Spieltheorie (DE-588)4056243-8 gnd rswk-swf 1\p (DE-588)1071861417 Konferenzschrift 1989 Albany NY gnd-content 2\p (DE-588)1071861417 Konferenzschrift gnd-content Biologisches System (DE-588)4122930-7 s Mathematisches Modell (DE-588)4114528-8 s 3\p DE-604 Spieltheorie (DE-588)4056243-8 s 4\p DE-604 Chaos (DE-588)4191419-3 s 5\p DE-604 Biologie (DE-588)4006851-1 s 6\p DE-604 Dynamisches System (DE-588)4013396-5 s 7\p DE-604 Mees, Alistair I. edt Jennings, Leslie S. edt Mathematical Modelling 6 (DE-604)BV011613239 6 https://doi.org/10.1007/978-1-4684-6784-0 Verlag 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 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 4\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 5\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 6\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 7\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Dynamics of Complex Interconnected Biological Systems Mathematical Modelling Mathematics Mathematical and Computational Biology Mathematical Modeling and Industrial Mathematics Applications of Mathematics Mathematik Chaos (DE-588)4191419-3 gnd Mathematisches Modell (DE-588)4114528-8 gnd Biologisches System (DE-588)4122930-7 gnd Biologie (DE-588)4006851-1 gnd Dynamisches System (DE-588)4013396-5 gnd Spieltheorie (DE-588)4056243-8 gnd |
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title | Dynamics of Complex Interconnected Biological Systems |
title_auth | Dynamics of Complex Interconnected Biological Systems |
title_exact_search | Dynamics of Complex Interconnected Biological Systems |
title_full | Dynamics of Complex Interconnected Biological Systems edited by Thomas L. Vincent, Alistair I. Mees, Leslie S. Jennings |
title_fullStr | Dynamics of Complex Interconnected Biological Systems edited by Thomas L. Vincent, Alistair I. Mees, Leslie S. Jennings |
title_full_unstemmed | Dynamics of Complex Interconnected Biological Systems edited by Thomas L. Vincent, Alistair I. Mees, Leslie S. Jennings |
title_short | Dynamics of Complex Interconnected Biological Systems |
title_sort | dynamics of complex interconnected biological systems |
topic | Mathematics Mathematical and Computational Biology Mathematical Modeling and Industrial Mathematics Applications of Mathematics Mathematik Chaos (DE-588)4191419-3 gnd Mathematisches Modell (DE-588)4114528-8 gnd Biologisches System (DE-588)4122930-7 gnd Biologie (DE-588)4006851-1 gnd Dynamisches System (DE-588)4013396-5 gnd Spieltheorie (DE-588)4056243-8 gnd |
topic_facet | Mathematics Mathematical and Computational Biology Mathematical Modeling and Industrial Mathematics Applications of Mathematics Mathematik Chaos Mathematisches Modell Biologisches System Biologie Dynamisches System Spieltheorie Konferenzschrift 1989 Albany NY Konferenzschrift |
url | https://doi.org/10.1007/978-1-4684-6784-0 |
volume_link | (DE-604)BV011613239 |
work_keys_str_mv | AT vincentthomasl dynamicsofcomplexinterconnectedbiologicalsystems AT meesalistairi dynamicsofcomplexinterconnectedbiologicalsystems AT jenningsleslies dynamicsofcomplexinterconnectedbiologicalsystems |