Modeling Complex Living Systems Modeling Complex Living Systems
Modeling and Simulation in Science, Engineering and Technology

Modeling Complex Living Systems

A Kinetic Theory and Stochastic Game Approach

    • $109.99
    • $109.99

Publisher Description

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.

GENRE
Science & Nature
RELEASED
2007
October 5
LANGUAGE
EN
English
LENGTH
232
Pages
PUBLISHER
Birkhäuser Boston
SELLER
Springer Nature B.V.
SIZE
6.8
MB

More Books Like This

Modeling of Living Systems Modeling of Living Systems
2012
Unifying Themes In Complex Systems, Volume 1 Unifying Themes In Complex Systems, Volume 1
2018
Unifying Themes in Complex Systems Unifying Themes in Complex Systems
2007
The Influence of Demographic Stochasticity on Population Dynamics The Influence of Demographic Stochasticity on Population Dynamics
2014
Complexity Science Complexity Science
2019
Mathematical Models and Methods for Planet Earth Mathematical Models and Methods for Planet Earth
2014

More Books by Nicola Bellomo

Crowd Dynamics, Volume 4 Crowd Dynamics, Volume 4
2023
Predicting Pandemics in a Globally Connected World, Volume 1 Predicting Pandemics in a Globally Connected World, Volume 1
2022
Active Particles, Volume 3 Active Particles, Volume 3
2022
Crowd Dynamics, Volume 3 Crowd Dynamics, Volume 3
2022
Active Particles, Volume 2 Active Particles, Volume 2
2019
Crowd Dynamics, Volume 1 Crowd Dynamics, Volume 1
2019

Other Books in This Series

Mathematical Modeling and Control in Life and Environmental Sciences Mathematical Modeling and Control in Life and Environmental Sciences
2024
Crowd Dynamics, Volume 4 Crowd Dynamics, Volume 4
2023
Frontiers in Computational Fluid-Structure Interaction and Flow Simulation Frontiers in Computational Fluid-Structure Interaction and Flow Simulation
2023
Mathematical Modelling of Continuum Physics Mathematical Modelling of Continuum Physics
2023
Predicting Pandemics in a Globally Connected World, Volume 1 Predicting Pandemics in a Globally Connected World, Volume 1
2022
Active Particles, Volume 3 Active Particles, Volume 3
2022