No, it's because the bots' mc based algorithms currently don't care how
much they win by. (At least I'm assuming that's what Ingo meant.) They just
try to maximize their odds of winning.

I've often wondered about this, though, and maybe the bot developers here
can give me an answer. There's no reason why an mc-based go program
couldn't also factor winning margin into its decisions, is there? I assume
that at some point, what the mc analysis yields is a winning probability
for each candidate move, but at that point, you could still combine that
number with other factors, right? Some combination of winning probability
and probable winning margin, so that, for example, a 87% chance of winning
by 5 points could be rated lower than a 85% change of winning by 20. I
don't know what the ideal formula would be, and you'd probably want to
prevent the winning probability from ever getting too low, while also
ignoring potentially large winning margins beyond a certain point, but the
idea would be to generally make the bots play more like humans.

Why, you might ask, when this would only compromise their strength? For two
reasons:

1. To compete in tournaments like the one Ingo reported in this thread.
2. To make commercial programs more pleasing and useful for humans to play.

On #2, I don't know about others, but I really hate playing against Go
software because of how it starts playing "bad" moves once it's winning,
and I'd also like to use its winning margins to help gauge my strength.

Do any commercial Go programs work this way? If not, I'd like to request it
from the commercial developers here. It could be an option that you'd only
have in the commercial product, for your users to turn on if they prefer
it. You could still operate in pure mc mode for bot vs. bot play.

Freeman


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On Thu, Dec 8, 2016 at 2:56 PM, Erik van der Werf <[email protected]>
wrote:

> On Thu, Dec 8, 2016 at 10:58 PM, "Ingo Althöfer" <[email protected]>
> wrote:
> > Playing under such conditions might be a challenge for the bots
>
> Why? Do you think the humans will collude?  ;-)
>
> Erik.
>
>
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