Publications by authors named "N Bellomo"
Article Synopsis
- This work is about understanding how groups of living things, like animals or people, work together and learn from each other.
- The authors want to create new math and ideas to help explain "swarm intelligence," which is how these groups make decisions.
- They also talk about how to use this information to improve artificial intelligence, making machines smarter by learning from groups and their environment.
This review paper is devoted to study the conceptual difficulties that mathematics meets when attempting to describe the complexity of living matter focusing on the challenging perspective of developing a mathematical theory for living systems including mutations and selection. The quest starts with the identification of a number of common complexity features of living systems. Then, mathematical structures are derived to include these features, while mathematical models are derived by inserting in the structures models of individual based interactions.
View Article and Find Full Text PDFPandemics of mutating virus and society: a multi-scale active particles approach.
Philos Trans A Math Phys Eng Sci
May 2022
This article presents, within a multiscale framework, a search for a unified approach towards modelling the COVID-19 pandemic, from contagion to within-host dynamics. The modelling is focused on vaccination and therapeutical actions in general. The first part of our article is devoted to understanding the complex features of the system and to the design of a modelling rationale.
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