posted by organizer: stephanschiffel || 1775 views || tracked by 4 users: [display]



When Jul 25, 2015 - Jul 27, 2015
Where Buenos Aires
Submission Deadline Apr 27, 2015
Notification Due May 29, 2015
Final Version Due Jun 5, 2015
Categories    artificial intelligence   computer science   games   machine learning

Call For Papers

(IJCAI workshop)


Artificial Intelligence (AI) researchers have for decades worked on building
game-playing agents capable of matching wits with the strongest humans in the
world,resulting in several success stories for board games like chess and
checkers and computer games such as StarCraft, Pac-Man and Unreal Tournament.
The successof such systems has been partly due to years of relentless
knowledge-engineering effort on behalf of the program developers, manually
adding application-dependent knowledge to their game-playing agents. The
various algorithmic enhancements used are often highly tailored towards the
game at hand.

Research into general game playing (GGP) aims at taking this approach to the
next level: to build intelligent software agents that can, given the rules of
any game, automatically learn a strategy for playing that game at an expert
level without any human intervention. In contrast to software systems designed
to play one specific game, systems capable of playing arbitrary unseen games
cannot be provided with game-specific domain knowledge a priori. Instead, they
must be endowed with high-level abilities to learn strategies and perform
abstract reasoning. Successful realization of such programs poses many
interesting research challenges for a wide variety of artificial-intelligence
sub-areas including (but not limited to):
- applications
- computational creativity
- computational game theory
- evaluation and analysis
- game design
- imperfect-information games
- knowledge representation
- machine learning
- multi-agent systems
- opponent modeling
- planning
- reasoning
- search
The aim of this workshop is to bring together researchers from the above
sub-fields of AI to discuss how best to address the challenges of and further
advance the state-of-the-art of general game-playing systems and generic
artificial intelligence. Work which is appropriate for the workshop requires,
but not is not limited to, work related to the General Game Playing
and the General Video Game Playing Competition.

The workshop is one-day long and will be held onsite at IJCAI during the
scheduled workshop period July 25th-27th (exact day is to be announced later).


The workshop papers should be submitted online (see
Submitted papers must adhere to the IJCAI paper formatting instructions and
not exceed 8 pages (including references). The papers must present original
work that has not been published elsewhere. However, submissions of papers
that are under review elsewhere are allowed. All papers will
be peer reviewed and non-archival working notes produced containing the papers
presented at the workshop.

Important dates:
- Paper submission: April 27th, 2015
- Acceptance notification: May 29th, 2015
- Camera-ready papers due: June 5th, 2015
- Workshop date: July (25th, 26th, or 27th) 2015
If you are interesting in attending the conference without submitting a paper
please send a short statement of interest to either one of the co-chairs
listed below no later than May 29th.


- Stephan Schiffel, Reykjavik University (co-chair)
- Michael Thielscher, University of New South Wales (co-chair)
- Julian Togelius, New York University (co-chair)
- Yngvi Bjornsson, Reykjavik University
- Tristan Cazenave, University of Paris-Dauphine
- Michael Genesereth, Stanford University
- Lukasz Kaiser, University of Paris-Diderot
- Simon Lucas, University of Essex
- Jacek Mandziuk, Warsaw University of Technology
- Diego Perez, University of Essex
- Ji Ruan, Auckland University of Technology
- Abdallah Saffidine, University of New South Wales
- Spyridon Samothrakis, University of Essex
- Sam Schreiber, Google Inc.
- Tom Schaul, New York University
- Nathan Sturtevant, University of Denver
- Mark Winands, Maastricht University

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