By Jose Faro, Jaime Combadao, Isabel Gordo (auth.), Hugues Bersini, Jorge Carneiro (eds.)
ICARIS 2006 is the ?fth example of a sequence of meetings devoted to the comprehension and the exploitation of immunological rules via their translation into computational phrases. All scienti?c disciplines wearing a reputation that starts with “arti?cial” (followed via “life,” “reality,” “intelligence” or “- munesystem”) aresimilarlysu?ering froma veryambiguousidentity.Their axis of study attempts to stabilize an on-going id someplace within the crossroad of engineering (building important artifacts), usual sciences (biologyor psychology— bettering the comprehension and prediction of traditional phenomena) and t- oretical desktop sciences (developing and getting to know the algorithmic world). for that reason and looking on which of those views gets extra s- port, they try out at attracting di?erent types of scientists and at stimul- ing di?erent varieties of scienti?c attitudes. for a few years and within the earlier ICARIS meetings, it was once sincerely the “engineering” point of view that used to be the main represented and prevailed during the guides. certainly, because the o- gin of engineering and know-how, nature has o?ered a reserve of inexhaustible inspirations that have encouraged the advance of beneficial artifacts for guy. Biology has resulted in the advance of latest laptop instruments, comparable to genetic - gorithms, Boolean and neural networks, robots studying through event, mobile machines and others that create a brand new imaginative and prescient of IT for the engineer: parallel, ?exible andautonomous.Inthis kind of informatics,complexproblemsareta- led because of basic mechanisms, yet in?nitely iterated in time and space.
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Extra resources for Artificial Immune Systems: 5th International Conference, ICARIS 2006, Oeiras, Portugal, September 4-6, 2006. Proceedings
These local concentrations are then allowed to change, following a discretized version of the diﬀusion equation with a production term. The rules governing epithelial cell and virion concentration dynamics are described below. 1 Epithelial Cell Dynamics The epithelial cells can be found in any of the four states shown in Fig. 1, namely healthy, containing, secreting, and dead. For simplicity, we assume that there is no cell division or diﬀerentiation over the course of the infection. The parameters responsible for the transition between these states are as follows.
The average epithelial cell diameter was found to be about 11 ± 1 µm. We use Δx = 11 µm. Modeling Inﬂuenza Viral Dynamics in Tissue 29 Duration of a Time Step (Δt): The stability criterion for the ﬁnite diﬀerence approximation to the diﬀusion equation presented in (4) requires that Δt ≤ (Δx)2 , 4DV (5) which is a more stringent requirement for larger values of DV or smaller values of Δx. 6 h. We found that setting Δt = 2 min satisﬁes the stability criterion of the diﬀusion equation and accurately captures the behaviour of the system.
For non-graphical batch runs, a command-line interface, logmasyv, is also implemented. g. for parameter sweeps on large computer grids). This option requires only that a C compiler be available, and it eliminates the substantial CPU overhead cost incurred by the graphical services. Communication between the server program (either masyv or logmasyv) and the client simulation is done through a Unix domain socket stream. MASyV is open source software distributed under the GNU General Public License (GNU GPL) and is freely available for download from SourceForge .
Artificial Immune Systems: 5th International Conference, ICARIS 2006, Oeiras, Portugal, September 4-6, 2006. Proceedings by Jose Faro, Jaime Combadao, Isabel Gordo (auth.), Hugues Bersini, Jorge Carneiro (eds.)