[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]
RE: computer-go: Mathematic Go
I really like your way of thinking, Dan.
As I suggested a couple of times before, we need to do research
on Go. Since there is no such an institute in the world yet, this list
would be a good place for discussions: somebody throws out an idea or
"theorem", then we discuss it.
As to your "study empty board" suggestion, I don't feel there is
much to research on. Mathemetically, it's a 19 x 19 matrix, and there is
no much information on it. Maybe I am wrong.
-- Mousheng Xu
-----Original Message-----
From: Compgo123@xxxxxxxxxxxxxxxxx [mailto:Compgo123@xxxxxxxxxxxxxxxxx]
Sent: Sunday, October 24, 1999 11:34 AM
To: computer-go@xxxxxxxxxxxxxxxxx
Subject: computer-go: Mathematic Go
Mathematic Go theory has achieved some quite interesting results
regarding
the end games. It demonstrated that in many end game situations, the
best
score can be calculated from the topological properties of the position
alone
and the look forward search is not needed. This success raise the hope
of a
'magic formular' for winning Go games.
However, the extension of these theories to the other parts of the game
(such
as the middle game) is met with difficulties. The reason is that there
are
just too many possible positions to be enumerated as required by
existing
mathematic Go thoery. I think there maybe one way to avoid this problem.
Instead of studying the game positions, one may study the mathematical
properties of the empty Go board. Since all possible game positions are
completely pre-determined by the mathematical properties of the Go board
and
the set of Go rules. This becomes interesting that one may find the
'magic
formular' by not studying the game, but ,instead, the empty Go board. It
would be very interesting if someone can prove or disprove that such an
approach is possible. One possible justification of this appraoch is
that the
Go boards can cost much more than the Go stones. A clear demonstration
of the
importance of the Go board.
Dan Liu