Re: [Computer-go] CFP: Second International Go Game Science Conference, Liberec 2015

2014-12-14 Thread Josef Moudrik
Hello Ingo,

Yes, both events are in the first week. The tournament is scheduled for
29th July, conference the day after. A part of the conference might be on
29th as well, depending on the number of presentations.

Kind regards,
Josef
Dne 13. 12. 2014 14:25 Ingo Althöfer 3-hirn-ver...@gmx.de napsal(a):

 Hi Petr,

 thanks for making the announcement of the conference public.

 Just one immediate question: The EGC is from July 25 to August 08.
 Typically Computer Go activities are on Wednesday in the second week
 (which is August 05).
 According to your text, the conference is in the first week (July 29+30).
 Will in Liberec the computer go tournament also be in the first week
 (i.e., on July 29)?

 I would very much prefer to have both events in the same week
 of the congress.

 Cheers, Ingo.

 PS, Thanks for helping to reorganize this mailing list!


  Gesendet: Freitag, 12. Dezember 2014 um 17:25 Uhr
  Von: Petr Baudis pa...@ucw.cz
  An: computer-go@computer-go.org
  Cc: iggsc2...@v.or.cz
  Betreff: [Computer-go] CFP: Second International Go Game Science
 Conference, Liberec 2015
 
Hi!
 
We are organizing a conference on Go and other board games as part
  of the European Go Congress in Liberec next summer.
 
We will appreciate your submissions, but also dissemination to other
  venues where this might find interested researchers.
 
(We also hope to get things like live video stream, travel stipends
  for independent researchers, etc. arranged, but we have nothing definite
  to say at this point.)
 
 
  Call for Papers - Second International Go Game Science Conference
  =
 
  Liberec, Czech Republic, 29th-30th July 2015, as a part of EGC 2015
 
  http://pasky.or.cz/iggsc2015/ :: iggsc2...@v.or.cz
  Web version of the CFP: http://pasky.or.cz/iggsc2015/cfp.html
 
  Overview
  
 
  The Second International Go Game Science Conference (IGGSC 2015) will
  present results in various fields related to board games, with the main
  focus being on the game of Go (Baduk, Weiqi).  The conference hopes to
  bring together researchers, scientists and practitioners from diverse
  fields spanning from Artificial Intelligence and Mathematics, through
  History, to Pedagogy and Psychology of board games.  Authors are
  encouraged to contribute to the conference by submitting scientific
  papers on their research results, projects and various studies.
 
  Topics
  --
 
  Potential topics for submissions include, but are not limited to:
 
* Computer Go and AI in Games; CGT – Combinatorial Game Theory
* Science of Go Rules, Game Concepts and Situations
* Psychology and Pedagogy of Go and other mind games
* History and Culture of Go and other board games
 
  Publication
  ---
 
  Submitted papers are expected to contain at least 30% original work not
  published at other venues yet. The papers will be subject to anonymous
  peer review organized by the Program Committee (we aim to seek at least
  two reviews for each paper).
 
  Accepted papers will be published in hard copy conference proceedings
  (with ISBN) and online on the conference website as open access; authors
  are expected to sign a simple non-exclusive copyright licence permitting
  typesetting editing and such publication.  Authors of Computer Science
  papers are also encouraged to submit their preprints to arXiv/CoRR.  We
  also aim to send the accepted papers for indexing by the Web of Science
  if possible.
 
  Submission
  --
 
  The Paper Submission Deadline is on May 18, 2015. Please submit papers
  by sending them to email address iggsc2...@v.or.cz (with subject
  IGGSC2015 Paper Submission).  We expect the papers in a PDF format,
  written in English and including full bibliography.  We will make LaTeX
  and Word templates available later; users of other software are expected
  to match the visual style accordingly.
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[Computer-go] Teaching Deep Convolutional Neural Networks to Play Go

2014-12-14 Thread Hiroshi Yamashita

Hi,

This paper looks very cool.

Teaching Deep Convolutional Neural Networks to Play Go
http://arxiv.org/pdf/1412.3409v1.pdf

Thier move prediction got 91% winrate against GNU Go and 14%
against Fuego in 19x19.

Regards,
Hiroshi Yamashita

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