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<b>Extended submission deadline: <font color="#ff0000"><u>15
November</u></font> (after AAAI-16 notification)<br>
<br>
</b><b>Plus:</b><b><br>
</b><b> - Invited talks by Michael Bowling and Gal Kaminka</b><b><br>
</b><b> - We are planning a discussion panel on "Drop-in player
challenge" at RoboCup</b><br>
<br>
<br>
*Call for Papers*<br>
<br>
Third AAAI-Workshop on Multiagent Interaction without Prior
Coordination (MIPC 2016)<br>
<br>
13 February 2016, Phoenix, Arizona, USA<br>
<br>
<a class="moz-txt-link-freetext" href="http://mipc.inf.ed.ac.uk/2016">http://mipc.inf.ed.ac.uk/2016</a><br>
<br>
<br>
*Description*<br>
<br>
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. For
example, 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.<br>
<br>
Effective MIPC is most likely to be achieved as we bring together
work from many different areas, including work on intelligent
agents, machine learning, game theory, and operations research. For
instance, game theorists have considered what happens to equilibria
when common knowledge assumptions must be violated, agent designers
are faced with mixed teams of humans and agents in open environments
and developing variations on planning methods in response to this,
etc. 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.<br>
<br>
This workshop is the third edition of the MIPC workshop series,
previously held at AAAI-15 in Austin, Texas, USA, and AAAI-14 in
Quebec City, Canada.<br>
<br>
<br>
*Topics*<br>
<br>
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:<br>
<br>
- Agent coordination and cooperation without prior coordination<br>
- Learning and adaptation in multiagent systems without prior
coordination<br>
- Team formation and information sharing in ad hoc teamwork settings<br>
- Human-machine interaction without prior coordination<br>
- Teammate/opponent modelling and plan recognition without prior
coordination<br>
- Game theory/incomplete information applied to ad hoc agent
coordination<br>
- Empirical and theoretical investigations of issues arising from
prior assumptions<br>
- Ad hoc coordination in the presence of adversaries<br>
<br>
<br>
*Format*<br>
<br>
The one-day workshop will include keynote talks from invited
speakers, sessions of oral workshop paper presentations, and an
“open problems and discussion” session.<br>
<br>
<br>
*Submission*<br>
<br>
The workshop follows the formatting guidelines for standard paper
submissions to the AAAI-16 main track. Workshop papers can be
submitted via EasyChair and will be selected based on a single-blind
peer review process.<br>
<br>
<br>
*Talk-Only Option*<br>
<br>
We offer a talk-only option for authors of relevant papers that have
been published in journals or conference proceedings. Interested
authors are encouraged to send their paper (in PDF or PS format) and
publication details via e-mail to <a class="moz-txt-link-abbreviated" href="mailto:mipc2016@easychair.org">mipc2016@easychair.org</a>. If the
paper is deemed relevant for the workshop, we will allocate a
presentation slot for the authors in the workshop program.<br>
<br>
<br>
*Journal Special Issue*<br>
<br>
The Journal of Autonomous Agents and Multi-Agent Systems plans to
publish a special issue on Multiagent Interaction without Prior
Coordination (<a class="moz-txt-link-freetext" href="http://mipc.inf.ed.ac.uk/journal">http://mipc.inf.ed.ac.uk/journal</a>). While the MIPC
workshop is primarily a venue for early ideas and discussion, the
special issue is a platform for more developed ("mature") work. We
encourage authors of MIPC workshops to submit extended versions of
their workshop papers to the special issue. (Note that there will be
no special treatment for authors of MIPC workshops.)<br>
<br>
<br>
*Organising Committee*<br>
<br>
Program chairs:<br>
- Stefano Albrecht (University of Edinburgh)<br>
- Katie Genter (University of Texas at Austin)<br>
- Somchaya Liemhetcharat (A*STAR Singapore)<br>
<br>
Advisory committee:<br>
- Subramanian Ramamoorthy (University of Edinburgh)<br>
- Peter Stone (University of Texas at Austin)<br>
- Manuela Veloso (Carnegie Mellon University)<br>
<br>
<br>
*Further Information*<br>
<br>
For more information, please visit the workshop website at
<a class="moz-txt-link-freetext" href="http://mipc.inf.ed.ac.uk/2016">http://mipc.inf.ed.ac.uk/2016</a>
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