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How to deal with potentially huge dimensional state space: The meta-dynamics approach—application to a model of the co-evolution of bacterio-phage populations
Authors:Marc Baguelin  Jacques LeFèvre  Jean-Pierre Richard
Institution:1. Cambridge Infectious Disease Consortium, Department of Veterinary Medicine, University of Cambridge, Madingley Rd., Cambridge, CB3 0ES, UK;2. MIM Centre, City University, London, UK;3. IDEA.SIM LTD, Harrow, London, UK;4. LAGIS, Ecole Centrale de Lille, Cité Scientifique, 59651 Villeneuve d’Ascq Cedex, France
Abstract:In many problems coming from the “complexity sciences”, the presence of high-dimensional state spaces and non-linear equations renders traditional mathematical objects useless. To deal with these issues, several approaches have recently been studied, most of them presenting the particularity of splitting the dynamical events in two categories; an upper level in which the events describe how the structure of the system changes (the meta-dynamics) and a lower level with the events describing the evolution of the elements in the structure (the dynamics). The state space is then not defined in extenso but unfolds or contracts during the evolution of the system. In term of simulation, this view allows us to deal with only a small part of the state space at each step avoiding the time and memory limitations.
Keywords:37N25  92D15  37M05
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