[Computer-go] *****SPAM***** Re: Mastering the Game of Go with Deep Neural Networks and Tree Search

David Fotland fotland at smart-games.com
Tue Feb 2 10:11:30 PST 2016


Since I sell go software, providing explanations is an interesting topic for me.  Weaker players want something that can help them learn, and this requires more than just "This is the best move".  Many Faces gives crude explanations, and it’s something I will continue to work on.  On the other hand, when presenting to people learning go, simple explanations are often good enough.

David



> -----Original Message-----
> From: Computer-go [mailto:computer-go-bounces at computer-go.org] On Behalf
> Of Robert Jasiek
> Sent: Tuesday, February 02, 2016 10:03 AM
> To: computer-go at computer-go.org
> Subject: *****SPAM***** Re: [Computer-go] Mastering the Game of Go with
> Deep Neural Networks and Tree Search
> 
> On 02.02.2016 17:29, Jim O'Flaherty wrote:
> > AI Software Engineers: Robert, please stop asking our AI for
> explanations.
> > We don't want to distract it with limited human understanding. And we
> > don't want the Herculean task of coding up that extremely frail and
> > error prone bridge.
> 
> Currently I do not ask a specific AI engine explanations. If an AI
> program only has the goal of playing strong, then - while it is playing
> or preparing play - it should not be disturbed with extra tasks.
> 
> Explanations can come from AI programs, their programmers, researchers
> providing the theory applied in those programs, researchers analysing
> the program codes, data structures or outputs.
> 
> I do not expect everybody to be interested in explanations, but I ask
> those interested. It must be possible to study theory for playing
> programs, their data structures or outputs and find connections to
> explanatory theory - as much as it must be possible to use explanatory
> theory to improve "brute force" programs.
> 
> Herculean task? Likely. The research in explanatory theory is, too.
> 
> Error prone? I disagree. Errors are not created due to volume of a task
> but due to carelessness or missing study of semantic conflicts.
> 
> --
> robert jasiek
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