From: Margo van der Stam <margo.stam@gmail.com>
Date: Tue, 3 Feb 2015 21:06:09 +0000 (+0100)
Subject: Begonnen aan chapter2
X-Git-Url: https://git.martlubbers.net/?a=commitdiff_plain;h=fa9586ef82e0096a7cabfa87c6dbcb8cedbda4c6;p=ker2014-2.git

Begonnen aan chapter2
---

diff --git a/report/ass2-2.tex b/report/ass2-2.tex
index bc476c0..a4da7ab 100644
--- a/report/ass2-2.tex
+++ b/report/ass2-2.tex
@@ -1 +1,47 @@
 \chapter{Visual representations and reasoning}
+We chose pizzas for our domain, as everybody likes pizzas. We chose to have six different pizzas. 
+\begin{itemize}
+	\item Margherita; basilicum
+	\item Hawaii; ham, pineapple and basilicum
+	\item Salami; salami and basilicum
+	\item Funghi; mushrooms and ham
+	\item Pepperoni; salami and jalape\~nos
+\end{itemize}
+
+\iffalse
+
+%% Margarita
+p_margarita <- basilicum.
+
+%% Hawaii
+prob hawaiibasilicum: 0.1.
+p_hawaii <- ham & pineapple & basilicum & hawaiibasilicum.
+
+%% Salami
+prob salamibasilicum: 0.1.
+p_salami <- salami & basilicum & salamibasilicum.
+
+%% Funghi
+prob funghiham: 0.5.
+p_funghi <- mushrooms & ham & funghiham.
+
+%% Salami
+p_pepperoni <- salami & jalapenos.
+
+%% Oliva
+p_oliva <- basilicum & olives.
+
+TODO
+In a more structured way, you are required to describe clearly and fully:
+• 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.
+
+
+\fi
\ No newline at end of file