Methods and tools of mathematical kinetic theory towards modelling complex biological systems

Methods of mathematical kinetic theory have been recently developed to describe the collective behavior of large populations of interacting individuals such that their microscopic state is identified not only by a mechanical variable (typically position and velocity), but also by a biological state (or sociobiological state) related to their organized, somehow intelligent, behavior. The interest in this type of mathematical approach is documented in the collection of surveys edited in [1], in the review papers [2], [3], and in the book [4].

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[16]  Nicola Bellomo,et al.  On the mathematical kinetic theory of active particles with discrete states: The derivation of macroscopic equations , 2006, Math. Comput. Model..

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[19]  F. Schweitzer Brownian Agents and Active Particles , 2003, Springer Series in Synergetics.

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[23]  Maria Letizia Bertotti,et al.  FROM DISCRETE KINETIC AND STOCHASTIC GAME THEORY TO MODELLING COMPLEX SYSTEMS IN APPLIED SCIENCES , 2004 .

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[26]  Angela Stevens,et al.  The Derivation of Chemotaxis Equations as Limit Dynamics of Moderately Interacting Stochastic Many-Particle Systems , 2000, SIAM J. Appl. Math..

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[31]  Nicola Bellomo,et al.  MATHEMATICAL TOPICS ON THE MODELLING COMPLEX MULTICELLULAR SYSTEMS AND TUMOR IMMUNE CELLS COMPETITION , 2004 .

[32]  Luisa Arlotti,et al.  A Kinetic Model of Tumor/Immune System Cellular Interactions , 2002 .

[33]  J. Hopfield,et al.  From molecular to modular cell biology , 1999, Nature.

[34]  B. Perthame Mathematical tools for kinetic equations , 2004 .