Is it possible to design metrics for "complexity" of positions? An opponent
model could make use of that information; there are positions which some
players will totally fail to grok.
Double-digit kyu players are weak on life-and-death, ko, and seki. Some
otherwise strong programs will fail to read seki properly. As players move up
in rank, they read life-and-death at an earlier point. Human players, with
practice, discover the weaknesses of their particular opponents.
Terry McIntyre <terrymcint...@yahoo.com>
“We hang the petty thieves and appoint the great ones to public office.” --
Aesop
________________________________
From: Magnus Persson <magnus.pers...@phmp.se>
I am open to opponent modeling such as make the playouts of black in handicap
games weaker. But in this case I think real gain if any would come from making
the statistics more sensitive to the qualitative difference in available moves,
rather than actually modeling the opponent, by bringing the win rates closer to
50%. Although I think it would be really hard to degrade the black moves in the
playouts in a realistic way.
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