Modeling Complex Living Systems: A Kinetic Theory and Stochastic Game Approach: Modeling and Simulation in Science, Engineering and Technology
Autor Nicola Bellomoen Limba Engleză Hardback – 14 noi 2007
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Specificații
ISBN-13: 9780817645106
ISBN-10: 0817645101
Pagini: 220
Ilustrații: XII, 220 p. 37 illus.
Dimensiuni: 155 x 235 x 16 mm
Greutate: 0.45 kg
Ediția:2008
Editura: Birkhäuser Boston
Colecția Birkhäuser
Seria Modeling and Simulation in Science, Engineering and Technology
Locul publicării:Boston, MA, United States
ISBN-10: 0817645101
Pagini: 220
Ilustrații: XII, 220 p. 37 illus.
Dimensiuni: 155 x 235 x 16 mm
Greutate: 0.45 kg
Ediția:2008
Editura: Birkhäuser Boston
Colecția Birkhäuser
Seria Modeling and Simulation in Science, Engineering and Technology
Locul publicării:Boston, MA, United States
Public țintă
ResearchCuprins
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.
Recenzii
"This nicely written book promotes the idea that the methods employed for modeling living systems may significantly differ from the techniques used for analyzing inert matter...This text, carefully written by a well-known expert, explains broad and profound applications of a new approach to modeling of nonlinear complex systems not only in the natural sciences, but also in systems describing social, ecological, and economic phenomena. It is a very useful reference for anyone interested in mathematical modeling of complex systems." (Svitlana P. Rogovchenko, Zentralblatt MATH)
Textul de pe ultima copertă
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 LivingSystems 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.
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 LivingSystems 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.
Caracteristici
Unique book with respect to the existing literature; very little is available in the field using this particular approach Using new methods and tools from mathematical kinetic theory and stochastic game theory, this book examines the modeling of living systems as opposed to inert systems Real-world applications to immunology, transportation engineering, and economics Appeals to a broad audience: applied mathematicians, engineers, physicists, biologists, economists, and graduate students involved in modeling complex social systems and living matter in general Includes supplementary material: sn.pub/extras