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The call for paper is also available as a PDF or ASCII text file.
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| Description |
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Multiagent planning is concerned with planning by (and for) multiple
agents. Nowadays a major issue
in multiagent planning is the coordination of single-agent planners. Here,
coordination is studied not
only during the execution of plans, but also in the (pre)-planning phase.
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A wide range of real applications could benefit from such coordinated planning
technology, for example, in transportation and logistics, health care
management, space missions, military tasks, and disaster management. Also,
planning in the context of human-computer (or human-robot) interaction is
inherently a multiagent planning task. Coordinating the plans of the involved
entities up front has the potential to improve the efficiency of the whole
system. However, currently, a great amount of research seems to focus solely
on either planning, or the coordination of agents without the context of a
plan.
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The purpose of this workshop is to address the problems that arise when
coordinating the plans
and schedules of multiple agents. We therefore solicit papers with original
work, as well as position
statements or surveys that relate to one or more of the following questions:
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Which applications require decentralized planning?
Can we derive benchmark problems from these applications?
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How can we evaluate multiagent planning techniques?
(a) How to measure communication costs, privacy loss, flexibility and
robustness?
(b) How to measure plan quality when agents are self-interested (e.g.,
multi-objective optimization,
or game theoretical concepts such as Pareto optimal solutions)?
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What are efficient techniques to deal with the many problems inherent to a
dynamic and uncertain multiagent world?
(a) How to deal with local autonomy, privacy issues, and conflicting
preferences?
(b) How to deal with uncertainty and incomplete information?
(c) How to coordinate multiagent plan diagnosis and (local) plan repair?
(d) How to coordinate plans when agents' objectives (tasks, intentions,
preferences,...) evolve over time?
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Papers should include a section or paragraph to explain their relevance to
these questions.
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| Topics |
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To summarize, specific topics of interest include (but are not limited
to):
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multiagent planning and scheduling applications
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strategies for testing/evaluating distributed plan/schedule management techniques
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self-interested planning agent
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privacy in distributed planning
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game theoretic planning
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managing local autonomy in team planning/scheduling
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mixed initiative and adjustable autonomy in distributed planning/scheduling
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negotiation over tasks/intentions in distributed planning/scheduling
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distributed continual planning/scheduling
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plan/schedule maintenance in single and multiagent systems
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plan/schedule repair in stochastic and adversarial domains
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active (distributed) monitoring to trigger plan/schedule maintenance
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distributed planning under uncertainty
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multiagent planning with sparse or unreliable communication
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| Paper submission |
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Authors are encouraged to submit papers or position statements electronically
in PDF format. Submitted papers should be formatted according to ACM
specifications. ACM style guides, as well as templates and style sheets for
Microsoft Word, WordPerfect, and LaTeX can be found at the ACM webpage. Papers
should be no more than 8 pages. Please submit your paper at the workshop
website no later than February 5, 2007 (midnight Honolulu,
Hawaii).
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| Publication |
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Accepted papers will be distributed as informal working notes, printed copies
of which will be available at the workshop. The authors of selected papers
are invited to publish a revised version of their
workshop paper in a special issue of Multiagent
and Grid Systems, an International Journal.
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| Important dates |
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Deadline for submissions: extended to February 12, 2007 (midnight Honolulu,
Hawaii)
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Notifications: March 5, 2007
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Deadline for camera-ready copy: March 19, 2007
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Workshop: half a day at May 15th, 2007
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