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there until the sweeper that starts from the nearest end point is
ε
-close. Then
run to the the middle until
ε
-close, turn, and run back until the end.
It is possible to show that there exists an optimal response in
M 1 ∪M 2 against
any mixed strategy that is based on
. The conjecture in [ 2 ] is that conversely
against any mixed strategy that is based on
P
M 1 ∪M 2 there exists an optimal
response that is in
. If this conjecture is true, then the princess and monster game
on an interval reduces to a standard optimization problem that can be solved numer-
ically by discretization and linear programming. An initial computation of the value
of the game under the assumption of the conjecture was carried out in [ 2 ], but it
contained some inaccuracies that have been corrected in [ 10 ]. The table below gives
the value of the game V n against the number of grid points n of the discretization.
In [ 2 ] it was stated that the value of the game could perhaps be 11
P
8, but this table
demonstrates that the value must be slightly lower: the value V n for n
/
=
1
,
024 in
Tab le 5.1 is within 10 3 of the actual value of the game.
n
V n
1
1
2
1
.
2667
4
1 . 3303
8
1 . 3547
16
1 . 3647
32
1 . 3689
64
1 . 3709
128
1 . 3719
.
256
1
3724
.
512
1
3726
3727
Tabl e 5. 1 Number of grid points versus value of the game
1
,
024 1
.
Since the solution of the game on an interval is already a hard problem, it may
seem that the solution of the game on an arbitrary graph is impossible. However,
one should observe the following nice confluency property of the princess' strategy
: suppose that p 1 ,
p 2 ∈ P
and that p 1 (
t 0 )=
p 2 (
t 0 )
for some t 0 .Then p 1 (
t
)=
p 2 (
t
)
for all t 0
t (in Chap. 14 , Steve Alpern calls this 'sticky'). Even more so, a mixed
strategy based on
)
is the probability that P is in A at time t . Perhaps it is possible to derive the optimal
response of the monster from this property, and verify the conjecture. We conjecture
more generally, that for the game on a tree there exists an optimal princess strategy
that satisfies the confluency property.
P
can be described by a probability measure
μ t such that
μ t (
A
5.3 High-Low Search Games
Dresher's guessing game has recently been solved asymptotically [ 8 ], but there is a
very similar high-low search game that remains unsolved. It was proposed around
the same time as Dresher's game, by Ed Gilbert [ 12 ]. As in Dresher's game, Blue
 
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