New trends in kinetic theory toward the complexity of living systems

The development of mathematical theory for living systems is one of the most challenging prospects of this century. The search began with the pioneering contribution of Ilia Prigogine, who developed methods from statistical physics to describe the dynamics of vehicular traffic. This visionary seminal research contribution has given rise to a great deal of research activities, which began at the end of the last century and has been further developed in this century by several authors who have developed mathematical methods generally focused on applications. These methods are somewhat inspired by the classical kinetic theory, but significant differences have led to the concept of active particles and to a kinetic theory that is ultimately very different from the classical theory. Different approaches have been developed, each of which is in some way an alternative to the others. This paper develops a critical analysis of the scientific investigations after Prigogine with the aim of developing a unified mathematical theory, taking into account the conceivable interactions that a mathematical theory of living systems can have with studies of artificial intelligence.

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Publication Details

Journal
Mathematical Models and Methods in Applied Sciences
Published
2025-12-11
DOI
https://doi.org/10.1142/s0218202526400026
Citations
3
Primary Topic
Mathematical Biology Tumor Growth
Type
article
Field-Weighted Citation Impact
4.10
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article

New trends in kinetic theory toward the complexity of living systems

Jie Liao, Diletta Burini, Nicola Bellomo
3 citations
Mathematical Models and Methods in Applied Sciences
Mathematical Biology Tumor Growth
4.10
article

New trends in kinetic theory toward the complexity of living systems

Jie Liao, Diletta Burini, Nicola Bellomo
article en
3 citations

Abstract

The development of mathematical theory for living systems is one of the most challenging prospects of this century. The search began with the pioneering contribution of Ilia Prigogine, who developed methods from statistical physics to describe the dynamics of vehicular traffic. This visionary seminal research contribution has given rise to a great deal of research activities, which began at the end of the last century and has been further developed in this century by several authors who have developed mathematical methods generally focused on applications. These methods are somewhat inspired by the classical kinetic theory, but significant differences have led to the concept of active particles and to a kinetic theory that is ultimately very different from the classical theory. Different approaches have been developed, each of which is in some way an alternative to the others. This paper develops a critical analysis of the scientific investigations after Prigogine with the aim of developing a unified mathematical theory, taking into account the conceivable interactions that a mathematical theory of living systems can have with studies of artificial intelligence.

Mathematical Models and Methods in Applied SciencesVol. 36(02)
Universidad de Granada (ES), Politecnico di Torino (IT), Shanghai University of Finance and Economics (CN), University of Perugia (IT)
Openalex Percentile: Top 6%
Mathematical Biology Tumor Growth
4.10
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