\chapter{Probabilistic representation and reasoning (and burglars)}
+\section{Bayesian network and the conditional probability tables}
+\begin{figure}[H]
+ \caption{Bayesian network, visual representation}
+ \centering
+ \includegraphics[scale=0.5]{d1.eps}
+\end{figure}
+
+\strut\\
+\begin{tabular}{|l|l|}
+ \hline
+ & Burglar\\
+ \hline
+ T & $0.01$\\
+ F & $0.99$\\
+ \hline
+\end{tabular}
+\begin{tabular}{|l|l|}
+ \hline
+ & Earthquake\\
+ \hline
+ T & $0.01$\\
+ F & $0.99$\\
+ \hline
+\end{tabular}\\
+\begin{tabular}{|l|ll|}
+ \hline
+ & \multicolumn{2}{c|}{Alarm}\\
+ Burglar & T & F\\
+ \hline
+ T & $0.95$ & $0.05$\\
+ F & $0.00$ & $1.00$\\
+ \hline
+\end{tabular}
+\begin{tabular}{|l|ll|}
+ \hline
+ & \multicolumn{2}{c|}{Alarm}\\
+ Earthquake & T & F\\
+ \hline
+ T & $0.20$ & $0.80$\\
+ F & $0.00$ & $1.00$\\
+ \hline
+\end{tabular}
+\begin{tabular}{|l|ll|}
+ \hline
+ & \multicolumn{2}{c|}{Holmes}\\
+ Earthquake & T & F\\
+ \hline
+ T & $0.9998$ & $0.0002$\\
+ F & $0.00$ & $1.00$\\
+ \hline
+\end{tabular}