4fb5b57b0e127712fd002d4fc59c7b6bbb432772
[ker1415-1.git] / report / ass1.tex
1 \newpage
2 \subsection{Part 1: Modelling Sokoban}
3 \subsubsection{Task 1: Knowledge base}
4 \begin{itemize}
5 \item{Q1}\\
6 We describe the connections using the four main directional words,
7 namely: $north,south,east,west$. We only define the connection for the
8 $north$ and $east$ directions because we can infer the $south$ and
9 $west$ directions from it.
10 \item{Q2}\\
11 We use the functions $agent(X, S_i), crate(cratename, X, S_i)$ and
12 $target(cratename, X)$ to easily represent the information.
13 \item{Q3}\\
14 $\begin{array}{llllll}
15 connected(loc11, loc21, east) & \wedge &
16 connected(loc11, loc12, north) & \wedge &
17 connected(loc12, loc22, east) & \wedge\\
18 connected(loc12, loc13, north) & \wedge &
19 connected(loc13, loc23, east) & \wedge &
20 connected(loc13, loc14, north) & \wedge\\
21 connected(loc14, loc24, east) & \wedge &
22 connected(loc21, loc31, east) & \wedge &
23 connected(loc21, loc22, north) & \wedge\\
24 connected(loc22, loc32, east) & \wedge &
25 connected(loc22, loc23, north) & \wedge &
26 connected(loc23, loc33, east) & \wedge\\
27 connected(loc23, loc24, north) & \wedge &
28 connected(loc31, loc32, north) & \wedge &
29 connected(loc32, loc33, north) & \wedge\\
30 connected(loc21, loc11, west) & \wedge &
31 connected(loc12, loc11, south) & \wedge &
32 connected(loc22, loc12, west) & \wedge\\
33 connected(loc13, loc12, south) & \wedge &
34 connected(loc23, loc13, west) & \wedge &
35 connected(loc14, loc13, south) & \wedge\\
36 connected(loc24, loc14, west) & \wedge &
37 connected(loc31, loc21, west) & \wedge &
38 connected(loc22, loc21, south) & \wedge\\
39 connected(loc32, loc22, west) & \wedge &
40 connected(loc23, loc22, south) & \wedge &
41 connected(loc33, loc23, west) & \wedge\\
42 connected(loc24, loc23, south) & \wedge &
43 connected(loc32, loc31, south) & \wedge &
44 connected(loc33, loc32, south) & \wedge\\
45 crate(cratec, loc21, s0) & \wedge &
46 crate(crateb, loc22, s0) & \wedge &
47 crate(cratea, loc23, s0) & \wedge\\
48 target(cratea, loc12) & \wedge &
49 target(crateb, loc13) & \wedge &
50 target(cratec, loc11) & \wedge\\
51 agent(loc32, s0) & \wedge\\
52 \end{array}$
53 \item{Q4}\\
54 $goal(s)\rightarrow\\
55 crate(cratea, loc12, s) \wedge
56 crate(crateb, loc13, s) \wedge
57 crate(cratec, loc11, s)$
58 \end{itemize}
59
60 \subsubsection{Task 2: Actions}
61 \begin{itemize}
62 \item{Q5}\\
63 $\begin{array}{rl}
64 Poss(move(x, y), s) & \equiv \\
65 & (\exists z: connected(x, y, z)) \wedge\\
66 & \neg(crate(x, y, s))
67 \end{array}$
68 \item{Q6}\\
69 $\begin{array}{rl}
70 Poss(push(x, y), s) & \equiv\\
71 & agent(x, s) \wedge\\
72 & (\exists z:
73 connected(x, z, y) \wedge
74 (\exists \gamma: crate(\gamma, z, s))
75 \wedge\\
76 & (\exists \alpha:
77 connected(z, \alpha, y) \wedge
78 (\nexists \beta: crate(\beta, \alpha, s))
79 )
80 )
81 \end{array}$
82 \item{Q7}\\
83 $\begin{array}{rl}
84 agent(x, result(z, s)) & \rightarrow\\
85 & (\exists y: z = move(y, x)) \vee\\
86 & (\exists \alpha:
87 z = push(\beta, \alpha) \wedge
88 connected(\beta, x, \alpha)) \vee\\
89 & (\exists \epsilon, \gamma:
90 z \neq move(x, \epsilon) \wedge
91 z \neq push(x, \gamma) \wedge
92 agent(x, s))\\
93 crate(x, y, result(A, s)) & \rightarrow\\
94 & (\exists z,\alpha:
95 A = push(z\wedge \alpha)\wedge\\
96 & (\exists \beta:
97 connected(z\wedge \beta\wedge \alpha)\wedge
98 connected(\beta\wedge y\wedge \alpha)\wedge
99 crate(x\wedge \beta\wedge s)
100 )
101 ) \vee\\
102 & (\exists z,\alpha:
103 A \neq push(z, \alpha)\wedge
104 connected(z, y, \alpha)\wedge
105 crate(x, y, s)
106 )
107 \end{array}$
108 \end{itemize}
109
110 \newpage
111 \subsection{Part 2: Implementation}
112 \subsubsection{Task 3: Translate Axioms}
113 The only optimization added to the file is the reverse move optimization,
114 disallowing the agent to reverse a move immediatly.
115 \begin{listing}[H]
116 \caption{Domain description task 1}
117 \prologcode{./src/domaintask1.pl}
118 \end{listing}
119
120 \subsubsection{Task 4: The Planning Problem in Figure 1}
121 \begin{listing}[H]
122 \caption{Instance description task 4}
123 \prologcode{./src/instancetask4.pl}
124 \end{listing}
125
126 \subsubsection{Task 5: Crates go to Any Goal Location}
127 \begin{listing}[H]
128 \caption{Instance description task 5}
129 \prologcode{./src/instancetask5.pl}
130 \end{listing}
131
132 \subsubsection{Task 6: Inverse Problem}
133 \begin{listing}[H]
134 \caption{Instance description task 6}
135 \prologcode{./src/instancetask6.pl}
136 \end{listing}
137 \begin{listing}[H]
138 \caption{Domain description task 6}
139 \prologcode{./src/domaintask6.pl}
140 \end{listing}
141
142 \newpage
143 \subsection{Part 3: Extending the domain}
144 \subsubsection{Task 7: Unlocking the Crates}
145 \begin{listing}[H]
146 \caption{Instance description task 7}
147 \prologcode{./src/instancetask7.pl}
148 \end{listing}
149 \begin{listing}[H]
150 \caption{Domain description task 7}
151 \prologcode{./src/domaintask7.pl}
152 \end{listing}
153
154 \newpage
155 \subsection{Part 4: General questions}
156 \subsubsection{Task 10: Sitcalc expressivity}
157 Situation calculus(sitcalc from now on) is very expressive because you can
158 express yourself very detailed without encountering the frame problem. When the
159 problem space expands the computational strength needed explodes. Sitcalc is
160 therefore not very usefull when you want to plan far behind. For comparison,
161 calculating a sokoban path 10 steps in the future already takes hours on a
162 normal computer.
163
164 The model is easy to extend to bigger and more complex problems, it doesn't
165 scale that well however...
166
167 \subsubsection{Task 11: Related work}
168 Zhou, N. (2013). A Tabled Prolog Program for Solving Sokoban, 124, 561575. doi:10.3233/FI-2013-849