The Emergence of Spatial Complexity in the immune System

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dc.creatorLouzoun, Yoram
dc.creatorSolomon, Sorin
dc.creatorAtlan, Henri
dc.creatorCohen, Irun R.
dc.date2000-08-08
dc.date.accessioned2026-07-07T02:38:26Z
dc.date.available2026-07-07T02:38:26Z
dc.descriptionBiological systems, unlike physical or chemical systems, are characterized by the very inhomogeneous distribution of their components. The immune system, in particular, is notable for self-organizing its structure. Classically, the dynamics of natural systems have been described using differential equations. But, differential equation models fail to account for the emergence of large-scale inhomogeneities and for the influence of inhomogeneity on the overall dynamics of biological systems. Here, we show that a microscopic simulation methodology enables us to model the emergence of large-scale objects and to extend the scope of mathematical modeling in biology. We take a simple example from immunology and illustrate that the methods of classical differential equations and microscopic simulation generate contradictory results. Microscopic simulations generate a more faithful approximation of the reality of the immune system.
dc.identifierhttps://arxiv.org/abs/cond-mat/0008133
dc.identifierhttp://arxiv.org/abs/cond-mat/0008133
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/16667
dc.subjectStatistical Mechanics
dc.subjectQuantitative Biology
dc.titleThe Emergence of Spatial Complexity in the immune System
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