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Welcome to my blog, which was once a mailing list of the same name and is still generated by mail. Please reply via the "comment" links.

Always interested in offers/projects/new ideas. Eclectic experience in fields like: numerical computing; Python web; Java enterprise; functional languages; GPGPU; SQL databases; etc. Based in Santiago, Chile; telecommute worldwide. CV; email.

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Lepl parser for Python.

Colorless Green.

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SVG experiment.

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Calibration of seismometers.

Data access via web services.

Cache rewrite.

Extending OpenSSH.

C-ORM: docs, API.

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5x5 Go "solved"

From: "andrew cooke" <andrew@...>

Date: Tue, 22 Feb 2005 13:47:40 -0300 (CLST)


Go is normally played on a 19x19 board and the idea is to encircle
territory using your pieces (two players, one with white and one with
black "stones").  Completely encircled pieces are captured.  It's a hard
game to play by computer (harder than chess) because the search space is
much larger (and imho heuristics are more difficult to find, as there are
no "dominant" pieces and a range of different scales need to be considered
- early play "sketches out" territory for later capture).

All that has been done here is to exhaustively search the game space for a
very restricted version (5x5 board).  However, it's an ominous sign that
brute force searching is becoming more important than elegant heuristics
even here (as happened long ago with chess).

From /. - http://slashdot.org/article.pl?sid=05/02/21/2356235


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