Modeling Complex Living Systems : a kinetic theory and stochastic game approach
Using tools from mathematical kinetic theory and stochastic game theory, this work deals with the modeling of large complex systems in the applied sciences, particularly those comprised of several interacting individuals whose dynamics follow rules determined by some organized, or even "intelli...
Αποθηκεύτηκε σε:
| Κύριος συγγραφέας: | |
|---|---|
| Μορφή: | Livre numérique |
| Γλώσσα: | Anglais |
| Έκδοση: |
Boston, MA :
Birkhäuser Boston
[20..].
Cham : Springer Nature |
| Έκδοση: | 1st ed. 2008. |
| Σειρά: | Modeling and Simulation in Science, Engineering and Technology
|
| Θέματα: | |
| Διαθέσιμο Online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Σημείωση: |
L'impression du document génère 228 p. Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Modeling Complex Living Systems, Texte imprimé, 9780817671303 • Modeling complex living systems, a kinetic theory and stochastic game approach, Nicola Bellomo, 2008, Boston (Mass.), Birkhäuser, 1 vol. (XII-220 p.), Modeling and simulation in science, engineering and technology, 978-0-8176-4510-6 |
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| 020 | |a 9780817646004 | ||
| 041 | 0 | |a eng | |
| 082 | |a 003.3 | ||
| 084 | |a 91-02. 2010 | ||
| 084 | |a 00A17. 2010 | ||
| 084 | |a 82-02. 2010 | ||
| 084 | |a 91A15. 2010 | ||
| 084 | |a 91A80. 2010 | ||
| 084 | |a 92-02. 2010 | ||
| 100 | 1 | |a Bellomo, Nicola, |d 1943-...., |c mathématicien. | |
| 245 | 1 | 0 | |a Modeling Complex Living Systems : |b a kinetic theory and stochastic game approach |c Nicola Bellomo. |
| 250 | |a 1st ed. 2008. | ||
| 260 | |a Boston, MA : |b Birkhäuser Boston. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Modeling and Simulation in Science, Engineering and Technology |x 2164-3725 | |
| 500 | |a L'impression du document génère 228 p. | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 504 | |a Bibliogr. Index | ||
| 505 | 1 | |a From Scaling and Determinism to Kinetic Theory Representation Mathematical Structures of the Kinetic Theory for Active Particles Additional Mathematical Structures for Modeling Complex Systems Mathematical Frameworks Modeling of Social Dynamics and Economic Systems Mathematical Modeling Complex Biological Systems: Modeling Crowds and Swarms:Congested and Panic Flows Additional Concepts on the Modeling of Living Systems. | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a Using tools from mathematical kinetic theory and stochastic game theory, this work deals with the modeling of large complex systems in the applied sciences, particularly those comprised of several interacting individuals whose dynamics follow rules determined by some organized, or even "intelligent" ability. Traditionally, methods of mathematical kinetic theory have been applied to model the evolution of large systems of interacting classical or quantum particles. This book, on the other hand, examines the modeling of living systems as opposed to inert systems. The author develops new mathematical methods and tools hopefully a "new" mathematics toward the modeling of living systems. Such tools need to be far more complex than those dealing with systems of inert matter. The first part of the book deals with deriving general evolution equations that can be customized to particular systems of interest in the applied sciences. The second part of the book deals with various models and applications. The presentation unfolds using the following common approach in each chapter: * Phenomenological interpretation of the physical system in the context of mathematical modeling * Derivation of the mathematical model using methods from mathematical kinetic theory for active particles * Simulations, parameter sensitivity analysis, and critical inspection of the derived model towards validation * Overview of presented ideas to improve existing models, with special emphasis on applications Specific topics covered include: * Modeling of the competition between cells of an aggressive invasive agent and cells of the immune system * Modeling of vehicular traffic flow * Modeling of swarms and crowd dynamics in complex geometric environments * Methodological aspects related to multiscale modeling of large systems viewed as interconnected subsystems Modeling Complex Living Systems is a valuable resource for applied mathematicians, engineers, physicists, biologists, economists, and graduate students involved in modeling complex social systems and living matter in general. | ||
| 650 | |a Systèmes biologiques |x Modèles mathématiques | ||
| 650 | |a Systèmes, Théorie des | ||
| 650 | |a Théorie cinétique de la matière |x Modèles mathématiques | ||
| 650 | |a Circulation |x Modèles mathématiques | ||
| 776 | 0 | |t Modeling Complex Living Systems |b Texte imprimé |z 9780817671303 | |
| 776 | 0 | |0 137548478 |t Modeling complex living systems |o a kinetic theory and stochastic game approach |f Nicola Bellomo |d 2008 |c Boston (Mass.) |n Birkhäuser |p 1 vol. (XII-220 p.) |s Modeling and simulation in science, engineering and technology |z 978-0-8176-4510-6 | |
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| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-JXW5PRGZ-2 |z Accès sur la plateforme Istex | |
| 856 | 4 | |5 452349901:747873488 |u https://ezproxy.univ-orleans.fr/login?url=https://dx.doi.org/10.1007/978-0-8176-4600-4 |z Accès Université d'Orléans | |
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