\section{Conclusion}
-Detailed benchmarking and thorough comparison of the results still has to be done.
-%thoughts on the performance of the object-centered approach are needed here
-The coordinate-based approach revealed that the following factors affect the feasibility of solving a particular sokoban field:
+Detailed benchmarking and thorough comparison of the results still has to be
+done.
+
+The object-based approach shows to heavily depend on the number of boxes.
+Describing the goal state for $n$ boxes needs a formula of $n!$ size. The size
+of the encoding also increases with the number of free blocks. When a screen is
+circular the parser also parses the blocks on the sides to be free spaces
+whereas they can never be reached. By improving the parser to disregard those
+positions we can increase the performance too.
+
+The coordinate-based approach revealed that the following factors affect the
+feasibility of solving a particular \emph{sokoban} field:
\begin{itemize}
\item Overall size of a field
\item Proximity of boxes to the man
\item Number of boxes (to a lesser extent)
\end{itemize}
-A possible improvement for the coordinate-based approach is the elimination of outer walls, which can reduce overal field sizes.\\
-In total, the material obtained by implementing two different ways to encode a sokoban solver might give the us the ability to approach the next assignment in a more elaborate way.
+A possible improvement for the coordinate-based approach is the elimination of
+outer walls, which can reduce overall field sizes.\\
+In total, the material obtained by implementing two different ways to encode a
+\emph{sokoban} solver might give the us the ability to approach the next
+assignment in a more elaborate way.