From f238827e14fe6eece38e0039f8f7b6b933fa060d Mon Sep 17 00:00:00 2001
From: Mart Lubbers <mart@martlubbers.net>
Date: Sun, 25 Jan 2015 19:03:39 +0100
Subject: [PATCH] update todo
---
report/ass2-1.tex | 13 ++++++-------
report/todo.txt | 31 +++++++++++++++++++++++++++++++
2 files changed, 37 insertions(+), 7 deletions(-)
create mode 100644 report/todo.txt
diff --git a/report/ass2-1.tex b/report/ass2-1.tex
index 9247346..61a249f 100644
--- a/report/ass2-1.tex
+++ b/report/ass2-1.tex
@@ -159,19 +159,15 @@ Querying the \textit{Alarm} variable gives the following answer
\begin{minted}{prolog}
ailog: predict alarm.
Answer: P(alarm|Obs)=0.0031469965467367292.
+
[ok,more,explanations,worlds,help]: ok.
\end{minted}
Using formula: $P(i_1|C_1)+P(i_2|C_2)(1-P(i_1|C_1))$ we can calculate the
probability of the \textit{Alarm} variable using variable elimination. This
results in the following answer:
-$$0.2*0.0027+0.95*0.0027*(1-0.2*0.0027)=0.00314699654673672941001347$$
-
-There is a slight difference in probability. This is probably due to the
-precision of the \textit{AILog} module. The manual calculation was done with
-arbitrary precision. Manual calculation takes a lot longer and therefore one
-can prefer the \textit{AILog} method when speed is of an essence. When
-precision is necessary manual calculation is preferred.
+$$0.2*0.0027+0.95*0.0027*(1-0.2*0.0027)=0.00314699654673673$$
+TODOOOOOOOOOOO
\newpage
\section{Burglary problem with extended information}
@@ -184,3 +180,6 @@ $P(burglary)\cdot\left(
\frac{9999}{10000}\cdot\frac{1}{9999}+
\frac{9999}{10000}\cdot\frac{9998}{9999}\cdot\frac{1}{9998}\right)=
\frac{3}{19600}\approx0.000153$
+
+\section{Bayesian networks}
+TODOOOOOOOOOOO
diff --git a/report/todo.txt b/report/todo.txt
new file mode 100644
index 0000000..c87e986
--- /dev/null
+++ b/report/todo.txt
@@ -0,0 +1,31 @@
+Opdracht 1
+==========
+1.7: Uitleg verschil en overeenkomsten uitkomst AILog en Variable elimination
+1.8: Dit moet nog helemaal
+
+Opdracht 2
+==========
+ - The domain and the individual images
+ - The representation of observations, assumables and the causal theory between
+ them in AILog
+ - The style of reasoning employed (abductive, deductive) and what
+ considerations have played a role
+ - The queries used to infer information about individual images
+ - The results of the queries and reflections on their effectiveness and
+ intuitions behind them
+ - General reflections on your model, how appropriate it is for this domain,
+ how effective it is and how would need to proceed if one would like to
+ extend it to large datasets or realistic, real-time operation.
+
+Extra
+==========
+Opdracht 1
+----------
+i) how much time did it take you to finish it?
+ii) if you would have to change aspect of the assignment: what would they be
+ and why?
+
+Opdracht 2
+----------
+i) how much time did it take you to finish it?
+ii) if you would have to change aspect of the assignment: what would they be
--
2.20.1