1 \subsection{Part
1: Modelling Sokoban
}
2 \subsubsection{Task
1: Knowledge base
}
5 We describe the connections using the four main directional words,
6 namely: $north,south,east,west$. We only define the connection for the
7 $north$ and $east$ directions because we can infer the $south$ and
8 $west$ directions from it.
10 We use the functions $agent(X, S_i), crate(cratename, X, S_i)$ and
11 $target(cratename, X)$ to easily represent the information.
13 $
\begin{array
}{llllll
}
14 connected(loc11, loc21, east) &
\wedge &
15 connected(loc11, loc12, north) &
\wedge &
16 connected(loc12, loc22, east) &
\wedge\\
17 connected(loc12, loc13, north) &
\wedge &
18 connected(loc13, loc23, east) &
\wedge &
19 connected(loc13, loc14, north) &
\wedge\\
20 connected(loc14, loc24, east) &
\wedge &
21 connected(loc21, loc31, east) &
\wedge &
22 connected(loc21, loc22, north) &
\wedge\\
23 connected(loc22, loc32, east) &
\wedge &
24 connected(loc22, loc23, north) &
\wedge &
25 connected(loc23, loc33, east) &
\wedge\\
26 connected(loc23, loc24, north) &
\wedge &
27 connected(loc31, loc32, north) &
\wedge &
28 connected(loc32, loc33, north) &
\wedge\\
29 connected(loc21, loc11, west) &
\wedge &
30 connected(loc12, loc11, south) &
\wedge &
31 connected(loc22, loc12, west) &
\wedge\\
32 connected(loc13, loc12, south) &
\wedge &
33 connected(loc23, loc13, west) &
\wedge &
34 connected(loc14, loc13, south) &
\wedge\\
35 connected(loc24, loc14, west) &
\wedge &
36 connected(loc31, loc21, west) &
\wedge &
37 connected(loc22, loc21, south) &
\wedge\\
38 connected(loc32, loc22, west) &
\wedge &
39 connected(loc23, loc22, south) &
\wedge &
40 connected(loc33, loc23, west) &
\wedge\\
41 connected(loc24, loc23, south) &
\wedge &
42 connected(loc32, loc31, south) &
\wedge &
43 connected(loc33, loc32, south) &
\wedge\\
44 crate(cratec, loc21, s0) &
\wedge &
45 crate(crateb, loc22, s0) &
\wedge &
46 crate(cratea, loc23, s0) &
\wedge\\
47 target(cratea, loc12) &
\wedge &
48 target(crateb, loc13) &
\wedge &
49 target(cratec, loc11) &
\wedge\\
50 agent(loc32, s0) &
\wedge\\
54 crate(cratea, loc12, s)
\wedge
55 crate(crateb, loc13, s)
\wedge
56 crate(cratec, loc11, s)$
61 \subsubsection{Task
2: Actions
}
64 $Poss(move(x, y), s)
\equiv \\
65 (
\exists z: connected(x, y, z))
\wedge\\
68 $Poss(push(x, y), s)
\equiv\\
71 connected(x, z, y)
\wedge
72 (
\exists \gamma: crate(
\gamma, z, s))
75 connected(z,
\alpha, y)
\wedge
76 (
\nexists \beta: crate(
\beta,
\alpha, s))))$
78 $agent(x, result(z, s))
\rightarrow\\
79 (
\exists y: z = move(y, x))
\vee\\
81 z = push(
\beta,
\alpha)
\wedge
82 connected(
\beta, x,
\alpha))
\vee\\
83 (
\exists \epsilon,
\gamma:
84 z
\neq move(x,
\epsilon)
\wedge
85 z
\neq push(x,
\gamma)
\wedge
87 crate(x, y, result(A, s))
\rightarrow\\
91 connected(z,
\beta,
\alpha),
92 connected(
\beta, y,
\alpha),
97 A
\neq push(z,
\alpha)
\wedge
98 connected(z, y,
\alpha)
\wedge
104 \subsection{Part
2: Implementation
}
105 \subsubsection{Task
3: Translate Axioms
}
106 The only optimization added to the file is the reverse move optimization,
107 disallowing the agent to reverse a move immediatly.
108 \inputminted{prolog
}{./src/domaintask1.pl
}
110 \subsubsection{Task
4: The Planning Problem in Figure
1}
111 \inputminted{prolog
}{./src/instancetask4.pl
}
113 \subsubsection{Task
5: Crates go to Any Goal Location
}
114 \inputminted{prolog
}{./src/instancetask5.pl
}
116 \subsubsection{Task
6: Inverse Problem
}
118 \subsection{Part
3: Extending the domain
}
120 \subsection{Part
4: General questions
}
121 \subsubsection{Task
10: Sitcalc expressivity
}
122 Situation calculus(sitcalc from now on) is very expressive because you can
123 express yourself very detailed without encountering the frame problem. When the
124 problem space expands the computational strength needed explodes. Sitcalc is
125 therefore not very usefull when you want to plan far behind. For comparison,
126 calculating a sokoban path
10 steps in the future already takes hours on a
129 The model is easy to extend to bigger and more complex problems, it doesn't
130 scale that well however...
132 \subsubsection{Task
11: Related work
}
133 Zhou, N. (
2013). A Tabled Prolog Program for Solving Sokoban,
124,
561–
575. doi:
10.3233/FI-
2013-
849