This book describes the evolution of several socio-biological systems using mathematical kinetic theory. It is one of the first books to apply mathematical kinetic theory to biological systems. Specifically, it deals with modeling and simulations of biological systems.

ContentsandScienti?cAims The scienti?c community is aware that the great scienti?c revolution of this century will be the mathematical formalization, by methods of applied mathematics, of complex biological systems. A fascinating prospect is that biological sciences will ?nally be supported by rigorous investigation me- ods and tools, similar to what happened in the past two centuries in the case of mechanical and physical sciences. It is not an easy task, considering that new mathematical methods maybeneededtodealwiththeinnercomplexityofbiologicalsystemswhich exhibit features and behaviors very di?erent from those of inert matter. Microscopic entities in biology, say cells in a multicellular system, are characterized by biological functions and the ability to organize their dynamics and interactions with other cells. Indeed, cells organize their dynamics according to the above functions, while classical particles follow deterministic laws of Newtonian mechanics. Cells have a life according to a cell cycle which ends up with a programmed death. The dialogue among cells can modify their behavior. The activity of cells includes proliferation and/or destructive events which may, in some cases, result in dangerously reproductive events. Finally, a cellular system may move far from eq- librium in physical situations where classical particles generally show a tendency toward equilibrium. An additional source of complexity is that biological systems always need a multiscale approach. Speci?cally, the dynamics of a cell, including its life, are ruled by sub-cellular entities, while most of the phenomena can be e?ectively observed only at the macroscopic scale.

One of the first books to apply mathematical kinetic theory to biological systems Proposes a new biological model focused on the analysis of competition between cells of an aggressive host and cells of a corresponding immune system Applications to collective social behavior, immunology, and epidemiology Proposed models are related to the generalized Boltzmann equation and describe the population dynamics of several interacting elements (kinetic population models) For a broad audience of applied mathematicians, bioengineers, and graduate students May be used in advanced graduate courses and seminars on biological systems modeling with applications to collective social behavior, immunology, and epidemiology

Inhalt
On the Modelling of Complex Biological Systems.- Mathematical Frameworks of the Generalized Kinetic (Boltzmann) Theory.- Modelling the Immune Competition and Applications.- On the Cauchy Problem.- Simulations, Biological Interpretations, and Further Modelling Perspectives.- Models with Space Structure and the Derivation of Macroscopic Equations.- Critical Analysis and Forward Perspectives.