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SUMMARY:Discrete\, explicit simulations versus continuous\, aggregated mod
 els
DTSTART;VALUE=DATE:20141013
DTSTAMP:20260407T043425Z
UID:fbfc823b892d4cce8d68bad6d4f4496d8896c6135769e9d4b7cec1f4
CATEGORIES:Conferences - Seminars
DESCRIPTION:Fabien Campillo (INRIA\, Sophia Antipolis\, FR)\nClaude Lobry 
 (INRIA\, Sophia Antipolis\, FR)\nRoger Arditi (INRA\, Paris\; U. Fribourg\
 , CH)\nYuri Tyutyunov (Russian Academy of Sciences\, Rostov-on-Don\, RU)\n
 Continuous models (i.e.\, differential and partial differential equations)
  are appropriate to analyze the qualitative behavior of population dynamic
 s but are only suitable to represent very large populations. Otherwise\, t
 hey can lead to absurd quantities like an "atto-fox". For small population
 s\, discontinuous representations (branching processes\, IBMs) must be use
 d but are less tractable. In particular\, due to excessive computing time\
 , they are not suitable for very large populations. Unfortunately\, intera
 ctions between populations having a very large number of individuals and p
 opulations having a little number of individuals are common and their mode
 ling is a source of new and interesting problems. On the other hand\, comp
 lex models\, often formulated as simulation models (e.g.\, IBMs) in order 
 to mimic closely the biological interactions only acquire general\, theore
 tical interest if simple rules can be inferred from them.\nThe two questio
 ns of reliable simulations and emergence of simple rules will be explored 
 on such ecological questions as :\n– emergence of predator interference 
 in predator-prey systems\,\n– self-organization of population spatial pa
 tterns\,\n– use of process algebra in deriving population-level models\,
 \n– modeling collective behavior of animals\,\n– invasion success fact
 ors.
LOCATION:BI A0 448 https://plan.epfl.ch/?room==BI%20A0%20448
STATUS:CONFIRMED
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