[robocup-worldwide] CFP: AAAI Workshop on Multiagent Interaction without Prior Coordination

[Somchaya Liemhetcharat]

 Workshop on Multiagent Interaction without Prior Coordination (MIPC 2014)
        At the 28th Conference on Artificial Intelligence (AAAI-14)
             Website: http://conferences.inf.ed.ac.uk/mipc2014

This workshop focuses on models and algorithms for multiagent interaction
without prior coordination
(MIPC). Interaction between agents is the defining attribute of multiagent
systems, encompassing problems of
planning in a decentralized setting, learning other agent models, composing
teams with high task performance, and
selected resource-bounded communication and coordination. There is
significant variety in methodologies used to
solve such problems, including symbolic reasoning about negotiation and
argumentation, distributed optimization
methods, machine learning methods such as multiagent reinforcement
learning, etc. The majority of these well
studied methods depend on some form of prior coordination. Often, the
coordination is at the level of problem
definition, e.g., learning algorithms may assume that all agents share a
common learning method or prior beliefs,
distributed optimization methods may assume specific structural constraints
regarding the partition of state
space or cost/rewards, and symbolic methods often make strong assumptions
regarding norms and protocols. In
realistic problems, these assumptions are easily violated - calling for new
models and algorithms that
specifically address the case of ad hoc interactions. Similar issues are
also becoming increasingly more
pertinent in human-machine interactions, where there is a need for
intelligent adaptive behaviour and assumptions
regarding prior knowledge and communication are problematic. The community
of researchers addressing such issues
is diverse, drawing on many different speciality areas and corresponding
methods. The goal of this workshop is to
bring together these diverse viewpoints in an attempt to consolidate the
common ground and identify new lines of
attack.



*Topics*

The workshop will discuss research related to multiagent interaction
without prior coordination, as outlined
in the workshop description above. A non-exclusive list of relevant topics
includes:

   - Learning and adaptation in multiagent systems without prior
   coordination
   - Agent coordination and cooperation without prior coordination
   - Team formation and information sharing in ad hoc settings
   - Teammate/opponent modelling and plan recognition
   - Human-machine interaction without prior coordination
   - Game theory/incomplete information applied to ad hoc agent coordination



*Important Dates*

   - Submission deadline: April 10, 2014
   - Notification of acceptance: May 1, 2014
   - Camera-ready copies: May 15, 2014
   - Workshop: July 28, 2014




*Submission Details*
Papers can be submitted by April 10, 2014 to EasyChair:
https://www.easychair.org/conferences/?conf=mipc2014


The workshop follows the formatting guidelines for standard paper
submissions to the AAAI-14 main track. See
here for details:
http://www.aaai.org/Conferences/AAAI/2014/aaai14call.php


Papers will be selected based on a double-blind peer review process. Please
avoid including any information
in the paper that would identify the authors or their institutions.



*Organization*

Program chairs:

   - Stefano Albrecht (The University of Edinburgh)
   - Samuel Barrett (The University of Texas at Austin)
   - Jacob Crandall (Masdar Institute of Science and Technology)
   - Somchaya Liemhetcharat (A*STAR, Singapore)


Advisory committee:

   - Subramanian Ramamoorthy (The University of Edinburgh)
   - Peter Stone (The University of Texas at Austin)
   - Manuela Veloso (Carnegie Mellon University)
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