Modeling the hiding-learning dynamics in large living systems
type: Item
instance of: scholarly article
title: Modeling the hiding-learning dynamics in large living systems
zbMATH Open document ID: 1198.37117
published in: Applied Mathematics Letters
publication date: 2010-06-25T00:00:00Z
review text: The author deals with the modeling of large systems of interacting entities in the framework of the mathematical kinetic theory for active particles. And the author derives various mathematical structures of the hiding learning dynamics at the mesoscopic scale. Subsequently, these mathematical structures are further detailed referring to modeling issues and, in particular, to the learning-hiding competition among tumors and the immune system cells.
Mathematics Subject Classification ID: 37N25
Mathematics Subject Classification ID: 92D25
zbMATH DE Number: 5726680
zbMATH Keywords: living systems
zbMATH Keywords: hiding
zbMATH Keywords: learning
zbMATH Keywords: functional subsystems
zbMATH Keywords: kinetic theory
zbMATH Keywords: active particles
author: N. Bellomo
reviewed by: Xueyong Zhou
MaRDI profile type: Publication
full work available at URL: j.aml.2010.04.008
OpenAlex ID: W2057825263
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DOI: 10.1016/J.AML.2010.04.008
description: scientific article; zbMATH DE number 5726680