I think it would be an awesome commercial product for strong Go players.
Maybe even if the AI shows the continuations and the score estimates
between different lines, it will give the player enough reasoning to
understand why one move is better than the other.
On 2016-02-02 8:29, Jim O'Flaherty wrote:
And to meta this awesome short story...
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.
On Feb 1, 2016 3:03 PM, "Rainer Rosenthal" <[email protected]
<mailto:[email protected]>> wrote:
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Robert: "Hey, AI, you should provide explanations!"
AI: "Why?"
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Cheers,
Rainer
Date: Mon, 1 Feb 2016 08:15:12 -0600
From: "Jim O'Flaherty" <[email protected]
<mailto:[email protected]>>
To: [email protected]
<mailto:[email protected]>
Subject: Re: [Computer-go] Mastering the Game of Go with Deep
Neural
Networks and Tree Search
Message-ID:
<cakx5gkjc7j0uq_pmxyumyfre7r+7ydltigbna5oo7kvnzq7...@mail.gmail.com
<mailto:cakx5gkjc7j0uq_pmxyumyfre7r%[email protected]>>
Content-Type: text/plain; charset="utf-8"
Robert,
I'm not seeing the ROI in attempting to map human
idiosyncratic linguistic
systems to/into a Go engine.
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