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*Call for Papers*<br>
<div class="moz-text-html" lang="x-unicode"> <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>
<b>Extended submission deadline: <font color="#ff0000"><u>Sunday
15 November</u></font> (after AAAI-16 notification)<br>
<br>
</b><b>Plus:</b><b><br>
- Invited talks by Michael Bowling and Gal Kaminka<br>
</b><b>- We are planning a discussion panel on "Drop-in player
challenge" at RoboCup</b><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"><a class="moz-txt-link-abbreviated" href="mailto:mipc2016@easychair.org">mipc2016@easychair.org</a></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"><a class="moz-txt-link-freetext" href="http://mipc.inf.ed.ac.uk/2016">http://mipc.inf.ed.ac.uk/2016</a></a>
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