Fair enough
On Mar 30, 2016 5:20 PM, "Brian Sheppard" wrote:
> This is out of line, IMO. Djhbrown asked a sensible question that has
> valuable intentions. I would like to see responsible, thoughtful, and
> constructive replies.
>
>
>
> *From:* Computer-go
If the program would merely output 3-5 suggested positions, that would
probably suffice. Even an advanced beginner, such as myself, could I believe,
understand why they are good choices. Just having the "short list" would
probably be quite an educational tool! It would probably even help
This is out of line, IMO. Djhbrown asked a sensible question that has valuable
intentions. I would like to see responsible, thoughtful, and constructive
replies.
From: Computer-go [mailto:computer-go-boun...@computer-go.org] On Behalf Of
uurtamo .
Sent: Wednesday, March 30, 2016 7:43 PM
To:
He cannot possibly write code
On Mar 30, 2016 4:38 PM, "Jim O'Flaherty"
wrote:
> I don't think djhbrown is a software engineer. And he seems to have the
> most fits. :)
>
> On Wed, Mar 30, 2016 at 6:37 PM, uurtamo . wrote:
>
>> This is clearly the
I don't think djhbrown is a software engineer. And he seems to have the
most fits. :)
On Wed, Mar 30, 2016 at 6:37 PM, uurtamo . wrote:
> This is clearly the alphago final laugh; make an email list responder to
> send programmers into fits.
>
> s.
> On Mar 30, 2016 4:16 PM,
This is clearly the alphago final laugh; make an email list responder to
send programmers into fits.
s.
On Mar 30, 2016 4:16 PM, "djhbrown ." wrote:
> thank you very much Ben for sharing the inception work, which may well
> open the door to a new avenue of AI research. i am
thank you very much Ben for sharing the inception work, which may well
open the door to a new avenue of AI research. i am particularly
impressed by one pithy statement the authors make:
"We must go deeper: Iterations"
i remember as an undergrad being impressed by the expressive power of
Guys, please take a day.
steve
On Mar 30, 2016 1:52 PM, "Brian Sheppard" wrote:
> Trouble is that it is very difficult to put certain concepts into
> mathematics. For instance: “well, I tried to find parameters that did a
> better job of minimizing that error function, but
Trouble is that it is very difficult to put certain concepts into mathematics.
For instance: “well, I tried to find parameters that did a better job of
minimizing that error function, but eventually I lost patience.” :-)
Neural network parameters are not directly humanly understandable. They
It would be very interesting to see what these go playing neural
networks dream about [1]. Admittedly it does not explain any specific
moves the AI does - but it might show some interesting patterns that are
encoded in the NN and might even give some insight into "how the NN
thinks".
Put
I agree, "cannot" is too strong. But, values close enough to "extremely
difficult as to be unlikely" is why I used it.
On Mar 30, 2016 11:12 AM, "Robert Jasiek" wrote:
> On 30.03.2016 16:58, Jim O'Flaherty wrote:
>
>> My own study says that we cannot top down include "English
Or, if it's lopsided far from 1/2, Wilson's is just as good, in my
experience.
On Mar 30, 2016 10:29 AM, "Olivier Teytaud" wrote:
> don't use asymptotic normality with a sample size 5, use Fisher's exact
> test
>
> the p-value for the rejection of
> "P(alpha-Go wins a given game
don't use asymptotic normality with a sample size 5, use Fisher's exact test
the p-value for the rejection of
"P(alpha-Go wins a given game against Lee Sedol)<.5"
might be something like 3/16
(under the "independent coin" assumption!)
this is not 0.05, but still quite an impressive result :-)
On 30 Mar 2016, at 03:04, djhbrown . wrote:
>
> as to preconceived notions, my own notions are postconceived, having
> studied artificial intelligence and biological computation over 40
> post-doctoral years during which i have published 50 or so
> peer-reviewed scientific
Hey Simon,
I only now remembered:
we actually experimented on the effect
of making 1 blunder (random move instead of learned/searched move)
in Go and Hex
"Blunder Cost in Go and Hex"
so this might be a starting point for your question
of measuring player strength by measuring
all move
djhbrown,
Even from a pure playing stronger perspective, it is not game over yet
because there is no guarantee yet for always avoiding sudden entering of
holes of bad play, verification by reading is missing and there is no
optimisation for better score when winning the game anyway. For other
On 30.03.2016 16:58, Jim O'Flaherty wrote:
My own study says that we cannot top down include "English explanations" of
how the ANNs (Artificial Neural Networks, of which DCNN is just one type)
arrive a conclusions.
"cannot" is a strong word. I would use it only if it were proven
Congratulations to Zen19X, undefeated winner of the Spring Slow KGS bot
tournament!
My report is at http://www.weddslist.com/kgs/past/S16.1/index.html
As usual, I look forward to hearing your comments and criticisms; though I
may not respond for a while, I am about to leave for a week's holiday.
My own study says that we cannot top down include "English explanations" of
how the ANNs (Artificial Neural Networks, of which DCNN is just one type)
arrive a conclusions. If you want to translate the computational value of
an ANN into something other than the essential operation that it is
I fully agree with Goncalo that it would be worth investigating how
one could write an algorithm to express in English what Alpha's or
DCNNigo's nets
have learned, and a month ago (before her astonishing achievement in
March) offerred some ideas on how this might be approached in a
youtube comment
Come on let's all calm down please. :)
David I think the great challenge is in having good insight with AlphaGo
strength. Many Faces already provides some textual move suggestions, as
do probably other programs. Any program that doesn't use exclusively
machine learning or global search, like GNU
> no lack of respect for DeepMind's achievement was contained in my
> posting; on the contrary, i was as surprised as anyone at how well she
> did and it gave me great pause for thought.
>
Well, you wrote this:
> but convolutional neural networks and monte-carlo simulators have not
> advanced
In my original post I put a link to
the relevant section of the MacKay
book that shows exactly how to calculate
the probability of superiority
assuming the game outcome is modelled as
a biased coin toss:
http://www.inference.phy.cam.ac.uk/itila/
I was making the point that for this
and for
"do they have positive or negative correlation?" intriguing question,
Petri. Intuitively, we might arbitrarily divide the human population
into two groups; one which is discouraged by failure, and the other
which takes the Lady MacBeth attitude of "screw your courage to the
sticking point, and
Since there are only two possible outcomes it pretty much normal. Actually
binomial which will converge to normal given enough samples
Only thing that cans distort is that consecutive games are not
independent (which
is probably the case but do they have positive or negative correlation?)
I think the error here is that the game outcome is not a normaly distributed
random value.
Dmitry
30.03.2016, 12:57, "djhbrown ." :
> Simon wrote: "I was discussing the results with a colleague outside
> of the Game AI area the other day when he raised
> the question (which
one has to expect a certain amount of abuse when going public, and to
expect that eager critics will misrepresent what was said.
no lack of respect for DeepMind's achievement was contained in my
posting; on the contrary, i was as surprised as anyone at how well she
did and it gave me great pause
Simon wrote: "I was discussing the results with a colleague outside
of the Game AI area the other day when he raised
the question (which applies to nearly all sporting events,
given the small sample size involved)
of statistical significance - suggesting that on another week
the result might have
Your lack of respect for task performance is misguided imo. Your
preconceived notions of what intelligence is, will lead you astray.
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now that alpha rules the world, the usual suspects throng of
plagiarising copyycat psychopath serial killers are already busy
cloning her, but there is a faint chance that there may also be some
subscribers to this list who would like to contribute/investigate
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