In message <[email protected]>, Jessica Mullins <[email protected]> writes
Hi,

I am wondering what is the best way to build a Joseki Book? I am a student at
Lewis & Clark College and am working with Professor Peter Drake to build a
Joseki Book for the program Orego.

Right now I am extracting moves from professor players and saving those into a
database. Then if during game play a position is contained in the database,
play the response move like the professional. I am just wondering what other
people have done to build a Joseki Book, or if anyone knows of any papers that
might be helpful.

A simpler approach might be to find a free resource which has already done the extraction and built a tree from it, and copy that.

On a broader level - it depends what you are trying to do. If you want Orego to play well in the long term, getting it to play good moves (what a professional would acknowledge as good) in the josekis must be a good thing. But there is the more difficult question of how to get the josekis in the four corners to relate to one another. A move can be good in the context of the local corner but bad in the context of the whole game. Dealing with this is, I think, difficult.

Another approach is highly specific and short-term. Suppose you want to be able to beat a particular opponent, MFoG say. Then you can study MFoG's recent games, with the help of a strong player, and find positions where, just out of its joseki book, MFoG makes a bad move. Then you can tune Orego to play such josekis, and to follow up MFoG's bad move by knowing how to punish it. (I don't recommend this approach.)

On an intermediate level, a joseki that is good for a professional is not necessarily so good for a kyu player. Professionals are better than weak players at using thickness, whereas solid territory is worth much the same to both. So if your objective is for Orego to become 1-dan, you should tend to prefer josekis which give low solid territorial positions, leaving the hard-to-use outer influence for its opponents.

Nick
--
Nick Wedd    [email protected]
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