Re: [Computer-go] KGS tournament rules

2015-06-04 Thread Nick Wedd
I have been asked

Your page [ http://www.weddslist.com/kgs/rules.html ] says:

 All the code in it that is in any way involved in move-generation (i.e.
 anything that causes the program to prefer one move to another) or position
 evaluation must be unique among the entrants. Code that is involved only in
 non-essential parts of the program, such as input/output, or scoring the
 position after the game is over, need not be unique. If two or more people
 want to submit programs containing the same code, then the author of that
 code shall decide which may enter.


 Would it be acceptable for me to use a (non-Go-specific) neural network
 package that I didn't write?


My immediate inclination is to say Yes. It's like using a compiler that
you didn't write.  But
I fear it may be more complicated than that.

For now, the rule is that if you enter a KGS bot tournament using a neural
net that you did not write, your entry will be accepted, buy you must
specify what neural net you are using.

But I would like to discuss the issue, and accept the consensus of this
list.  I have never used a neural net, and my understanding of how they
work is close to zero.  I naively imagine it goes like this:
  1.  You obtain a neural net, by buying one, downloading a free one, or
getting one from a colleague.
  2.  You install it on your computer.
  3.  You configure it by setting some parameters.
  4.  You specify how its board state representation will work (I have very
little idea about this).
  5.  You train it, maybe by feeding it a large database of professional
games.
  6.  You test the results. Quite likely you realise it hasn't gone well,
and redo from step 3.
  7. You add a harness that attaches it to kgsGtp, and maybe to some other
programs.

I look forward to becoming better informed.  I know that if someone writes
a praiseworthy program in say C, the creator of his C compiler will deserve
and expect none of the credit. I suspect things may be different with
neural nets.

Nick
-- 
Nick Wedd  mapr...@gmail.com
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Re: [Computer-go] KGS tournament rules

2015-06-04 Thread Detlef Schmicker
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Hash: SHA1

Oakfoam uses caffe library.I did not ask, as I considered it the same
as using e.g. boost lihrary to not write special kind of maps, you do
not want to write your self.

Of cause the net definition and training is our own. Most of the code
would be linear algebra, if you would write it yourself, and you would
most probably use a library for this

Detlef

Am 04.06.2015 um 22:56 schrieb Nick Wedd:
 I have been asked
 
 Your page [ http://www.weddslist.com/kgs/rules.html ] says:
 
 All the code in it that is in any way involved in move-generation
 (i.e.
 anything that causes the program to prefer one move to another)
 or position evaluation must be unique among the entrants. Code
 that is involved only in non-essential parts of the program,
 such as input/output, or scoring the position after the game is
 over, need not be unique. If two or more people want to submit
 programs containing the same code, then the author of that code
 shall decide which may enter.
 
 
 Would it be acceptable for me to use a (non-Go-specific) neural
 network package that I didn't write?
 
 
 My immediate inclination is to say Yes. It's like using a compiler
 that you didn't write.  But I fear it may be more complicated than
 that.
 
 For now, the rule is that if you enter a KGS bot tournament using a
 neural net that you did not write, your entry will be accepted, buy
 you must specify what neural net you are using.
 
 But I would like to discuss the issue, and accept the consensus of
 this list.  I have never used a neural net, and my understanding of
 how they work is close to zero.  I naively imagine it goes like
 this: 1.  You obtain a neural net, by buying one, downloading a
 free one, or getting one from a colleague. 2.  You install it on
 your computer. 3.  You configure it by setting some parameters. 4.
 You specify how its board state representation will work (I have
 very little idea about this). 5.  You train it, maybe by feeding it
 a large database of professional games. 6.  You test the results.
 Quite likely you realise it hasn't gone well, and redo from step
 3. 7. You add a harness that attaches it to kgsGtp, and maybe to
 some other programs.
 
 I look forward to becoming better informed.  I know that if someone
 writes a praiseworthy program in say C, the creator of his C
 compiler will deserve and expect none of the credit. I suspect
 things may be different with neural nets.
 
 Nick
 
 
 
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[Computer-go] PhD Studentships, University of Essex

2015-06-04 Thread Lucas, Simon M
Dear all,
 

We have two fully funded PhD studentships available for UK/EU students,
closing date two weeks today (June 18).

  https://www.essex.ac.uk/csee/news_and_seminars/newsEvent.aspx?e_id=7722



 
Best wishes,

 
  Simon Lucas


 
Professor Simon Lucas
Head of School
Computer Science and Electronic Engineering
University of Essex, UK
https://www.essex.ac.uk/csee/


 
 




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