\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}
