Well,... good luck with that! :-)

Seriously: it is important to account for p-space completeness. That is, a set 
of rules that covers Go without conflict must be exponential in space usage.

Search has a triple role in system design. It accounts (at least 
asymptotically) for missing knowledge and also papers over disagreements 
between rules. It also evaluates the global situation, which allows rules to be 
expressed in terms of purely local effects.

From my perspective, that is too good a deal to pass by. But I don't want to be 
only a bearer of bad news. If you accept a limitation on your rule sets, then 
there is a higher level conflict resolution method that will lead to good 
results.

Your rules could express their effect as a local point gain, in the sense of 
"temperature". That is, temperature == the difference between moving first and 
letting the opponent move first. Then CGT provides a higher-order theory for 
rationalizing multiple priorities.

This suggestion only addresses one of the three roles of search, though perhaps 
the most important one.

Best,
Brian


-----Original Message-----
From: Computer-go [mailto:computer-go-boun...@computer-go.org] On Behalf Of 
Robert Jasiek
Sent: Thursday, October 26, 2017 10:17 AM
To: computer-go@computer-go.org
Subject: Re: [Computer-go] AlphaGo Zero SGF - Free Use or Copyright?

On 26.10.2017 13:52, Brian Sheppard via Computer-go wrote:
> MCTS is the glue that binds incompatible rules.

This is, however, not what I mean. Conflicting principles (call them rules if 
you like) must be dissolved by higher order principles. Only when all conflicts 
are dissolved should MCTS be applied.

What you describe has been used with success and better success than I expect 
what my knowledge-pure approach can currently achieve. But MCTS as glue for 
conflicting principles has also run into a boundary. I want to see that 
boundary surpassed by my pure approach.

--
robert jasiek
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