Bültmann & Gerriets
Modeling Complex Living Systems
A Kinetic Theory and Stochastic Game Approach
von Nicola Bellomo
Verlag: Birkhäuser Boston
Reihe: Modeling and Simulation in Science, Engineering and Technology
Gebundene Ausgabe
ISBN: 978-0-8176-4510-6
Auflage: 2008
Erschienen am 14.11.2007
Sprache: Englisch
Format: 241 mm [H] x 160 mm [B] x 18 mm [T]
Gewicht: 524 Gramm
Umfang: 236 Seiten

Preis: 106,99 €
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Klappentext
Inhaltsverzeichnis

Thesubjectofthisbookisthemodelingofcomplex systemsinthelife sciences constituted by a large number of interacting entities called active particles. Their physical state includes, in addition to geometrical and mechanical variables, a variable called the activity, which characterizes the speci?c living system to be modeled. Interactions among particles not only modify the microscopic state, but may generate proliferative and/or destructive phenomena. The aim of the book is to develop mathematical methods and tools, even a new mathematics, for the modeling of living systems. The background idea is that the modeling of living systems requires technically complex mathematical methods, which may be s- stantially di?erent from those used to deal with inert matter. The?rstpart ofthe bookdiscussesmethodological issues, namely the derivation of various general mathematical frameworks suitable to model particular systems of interest in the applied sciences. The second part presents the various models and applications. The mathematical approach used in the book is based on mathema- cal kinetic theoryfor active particles, whichleads tothederivation of evo- tion equations for a one-particle distribution function over the microscopic state. Two types of equations, to be regarded as a general mathematical framework for deriving the models, are derived corresponding to short and long range interactions.



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.


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