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# Nine Prisoners

An article in Quanta magazine mentions the following puzzle by Dudeney and popularized by Martin Gardner:

"So in the spirit of Kirkman, we will leave the gentle reader with another brainteaser, a slight variation on the schoolgirl puzzle devised in 1917 by the British puzzle aficionado Henry Ernest Dudeney and later popularized by Martin Gardner: Nine prisoners are taken outdoors for exercise in rows of three, with each adjacent pair of prisoners linked by handcuffs, on each of the six weekdays (back in Dudeney’s less enlightened times, Saturday was still a weekday). Can the prisoners be arranged over the course of the six days so that each pair of prisoners shares handcuffs exactly once?"

An encoding of this puzzle in B is relatively straightforward, thanks to the use of sets, sequences and permutations and universal quantification. To improve the performance, symmetry reductions were added by hand in the model below. The constant arrange contains the solution to our puzzle: the arrangement of the prisoners for every working day from 1 to Days.

```MACHINE NinePrisoners
DEFINITIONS
Prisoners == 1..9;
Days == 6;
Cuffs == {1,2,  4,5, 7,8 };
share(day,cuff) == {arrange(day)(cuff),arrange(day)(cuff+1)}
CONSTANTS arrange
PROPERTIES
/* typing + permutation requirement */
arrange : (1..Days) --> perm(Prisoners) &

/* symmetry breaking */
arrange(1) = %i.(i:Prisoners|i) &
!d.(d:1..Days =>
!c.(c:Prisoners & c mod 3 = 1 => arrange(d)(c) < arrange(d)(c+2))) &
!d.(d:1..Days =>
!c.(c:{1,3} => arrange(d)(c) < arrange(d)(c+3)))
&

/* the constraint proper */
!(c,d).(c:Cuffs & d:2..Days =>
!(c1,d1).(d1<d & d1>0 & c1:Cuffs =>
share(d,c) /= share(d1,c1))
)
END
```

The solving time using ProB on a MacBook Air is as follows: for Days == 4: 0.08 seconds, for Days==5: 0.20 seconds, for Days == 6: 80 seconds (i.e., the complete puzzle).

## Simple Graphical Visualization

To generate a simple graphical visualization of the solutions found by ProB, one needs to add a definition for the animation function, e.g., as follows:

``` ANIMATION_FUNCTION ==
{r,c,i| r:1..Days & c:1..3 & i = arrange(r)(c) } \/
{r,c,i| r:1..Days & c:5..7 & i = arrange(r)(c-1) } \/
{r,c,i| r:1..Days & c:9..11 & i = arrange(r)(c-2) };
ANIMATION_FUNCTION_DEFAULT == {r,c,i| r:1..Days & c:1..11 & i = "  " }
```

This gives rise to the following visualisation:

As can be seen in the screenshot, we have also added an operation to inspect the solution computed by ProB:

```OPERATIONS
r <-- Neighbours(i) = PRE i:Prisoners THEN /* compute for every day the neighbours of i */
r := %d.(d:1..Days |
UNION(x,c).( x:Prisoners & c:Cuffs & i: share(d,c)| share(d,c) \ {i})
) END
```

To add a better graphical visualization one needs to generate 10 pictures (in GIF format). I generate these using OmniGraffle. In the DEFINITIONS section of the B machine above, you then simply have to add the following (and remove the definition of ANIMATION_FUNCTION_DEFAULT from above):

``` ANIMATION_FUNCTION_DEFAULT == {r,c,i| r:1..Days & c:1..11 & i = 0 };
ANIMATION_IMG0 == "images/Prisoner_0.gif";
ANIMATION_IMG1 == "images/Prisoner_1.gif";
ANIMATION_IMG2 == "images/Prisoner_2.gif";
ANIMATION_IMG3 == "images/Prisoner_3.gif";
ANIMATION_IMG4 == "images/Prisoner_4.gif";
ANIMATION_IMG5 == "images/Prisoner_5.gif";
ANIMATION_IMG6 == "images/Prisoner_6.gif";
ANIMATION_IMG7 == "images/Prisoner_7.gif";
ANIMATION_IMG8 == "images/Prisoner_8.gif";
ANIMATION_IMG9 == "images/Prisoner_9.gif"
```

This gives rise to the following graphical visualization of the first solution found by ProB:

Details about the use of this visualization feature can be found in the Graphical_Visualization page of the manual.