*Second Call for Papers*
AAMAS-17 Workshop on Multiagent Interaction without Prior Coordination (
MIPC 2017)
8 or 9 May 2017, Sao Paulo, Brazil
http://www.cs.utexas.edu/~larg/mipc2017/Submission deadline:
Tuesday 7 February (after AAMAS-17 notification)
*Description*
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.
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.
This workshop is the fourth edition of the
MIPC
workshop series, previously held at AAAI-16 in Phoenix, Arizona, USA,
AAAI-15 in Austin, Texas, USA, and AAAI-14 in Quebec City, Canada.
*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:
- Agent coordination and cooperation without prior coordination
- Learning and adaptation in multiagent systems without prior coordination
- Team formation and information sharing in ad hoc teamwork settings
- Human-machine interaction without prior coordination
- Teammate/opponent modelling and plan recognition without prior coordination
- Game theory/incomplete information applied to ad hoc agent coordination
- Empirical and theoretical investigations of issues arising from prior assumptions
- Ad hoc coordination in the presence of adversaries
*Format*
The half-day workshop will include keynote talks from invited speakers and sessions of oral workshop paper presentations.
*Submission*
The
workshop follows the formatting guidelines for standard paper
submissions to the AAMAS-17 main track. Workshop papers can be submitted
via EasyChair and will be selected based on a single-blind peer review
process.
*Talk-Only Option*
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 format) and publication details via e-mail to
mipc...@easychair.org.
If the paper is deemed relevant for the workshop, we will allocate a
presentation slot for the authors in the workshop program.
*Organising Committee*
Program chairs:
- Tathagata Chakraborti (Arizona State University)
- Katie Genter (University of Texas at Austin)
- Trevor Santarra (University of California Santa Cruz)
Advisory committee:
- Stefano Albrecht (University of Texas at Austin)
- Subramanian Ramamoorthy (University of Edinburgh)
- Peter Stone (University of Texas at Austin)
- Manuela Veloso (Carnegie Mellon University)
*Further Information*
For more information, please visit the workshop website at
http://www.cs.utexas.edu/~larg/mipc2017/