MIPC 2017 - Workshop on Multiagent Interaction without Prior Coordination (MIPC 2017)

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 mipc2017-AT-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/