67 lines
2.6 KiB
TeX
67 lines
2.6 KiB
TeX
|
\begin{frame}%[label=this one]
|
||
|
|
\frametitle{Mettre en relation des «modèles»}
|
||
|
|
%\framesubtitle{dans la littérature}
|
||
|
|
|
||
|
|
\begin{columns}
|
||
|
|
\column{.5\textwidth}
|
||
|
|
\begin{itemize}
|
||
|
|
\item \structure{Couplage}
|
||
|
|
\begin{itemize}
|
||
|
|
\item \alert<1>{\emph{Modèle} de la croissance des villes}
|
||
|
|
\item \alert<2>{\emph{Modèle} intégratif d'une cellule}
|
||
|
|
\end{itemize}
|
||
|
|
\medskip
|
||
|
|
\item \structure{Transformation}
|
||
|
|
\begin{itemize}
|
||
|
|
\item \alert<3>{Transformation de \emph{modèles} UML}
|
||
|
|
\item \alert<4>{Raffinement de \emph{modèles}}
|
||
|
|
\end{itemize}
|
||
|
|
\medskip
|
||
|
|
\item \structure{Complexification}
|
||
|
|
\begin{itemize}
|
||
|
|
\item \alert<5>{Memory Evolutive (Neural) System}
|
||
|
|
\item \alert<5>{Cellular Non-linear Network}
|
||
|
|
\end{itemize}
|
||
|
|
\end{itemize}
|
||
|
|
\column{.5\textwidth}\centering
|
||
|
|
\only<1>{\includegraphics[width=\textwidth]{raster/simpop3}\\
|
||
|
|
\mkCitation{T. Louail “Comparer les morphogénèses urbaines en
|
||
|
|
Europe et aux États-Unis par la simulation à base d'agents -- Approches
|
||
|
|
multi-niveaux et environnements de simulation spatiale”, Thèse, 2010}
|
||
|
|
}
|
||
|
|
\only<2>{\includegraphics[height=4cm]{raster/whole-cell-models}\\
|
||
|
|
\mkCitation{J. R. Karr et al. “A whole-cell computational
|
||
|
|
model predicts phenotype from genotype”, Nature, 2012}
|
||
|
|
}
|
||
|
|
\only<3>{%
|
||
|
|
\includegraphics[height=21mm]{raster/transformation-1}\\
|
||
|
|
\includegraphics[height=21mm]{raster/transformation-2}\\
|
||
|
|
\mkCitation{A. Christoph et M. M. Müller “GREAT: UML
|
||
|
|
transformation tool for porting middleware applications”, Modeling
|
||
|
|
Languages and Applications: 6th International Conference, San Francisco,
|
||
|
|
CA, USA, 2003}
|
||
|
|
}
|
||
|
|
\only<4>{
|
||
|
|
\includegraphics[height=4cm]{raster/refinement-av}
|
||
|
|
\includegraphics[height=4cm]{raster/refinement-ap}\\
|
||
|
|
\mkCitation{D.-E. Gratie “Refinement of biomodels using Petri
|
||
|
|
nets”, TUCS dissertation, 2016}
|
||
|
|
}
|
||
|
|
\only<5->{%
|
||
|
|
\includegraphics[width=.9\textwidth,page=5]{vector/mens-neurons}\\[1em]
|
||
|
|
\includegraphics[width=.45\textwidth,page=1]{vector/cnn-synapses}\hfill
|
||
|
|
\includegraphics[width=.45\textwidth,page=2]{vector/cnn-synapses}\\
|
||
|
|
\mkCitation{K. Mainzer et L. O. Chua: “Local activity principle”, World Scientific, 2013}
|
||
|
|
}
|
||
|
|
\end{columns}
|
||
|
|
|
||
|
|
\bigskip\centering
|
||
|
|
\uncover<6>{
|
||
|
|
Cadre \structure{formel unifié},\\
|
||
|
|
«\structure{sémantique}» du système,\\
|
||
|
|
\structure{abstraction} et \structure{multi-niveau}
|
||
|
|
}
|
||
|
|
% Multi-niveau = aller au delà de l'abstraction
|
||
|
|
|
||
|
|
\end{frame}
|