AIC Seminar Series
Distributed Problems Using Cooperative Mediation
|Roger Mailler||Cornell University |
Date: 2005-04-01 at 11:00
Location: EJ291 (Directions)
Cooperative mediation is a powerful new method for solving
distributed problems. Cooperative mediation works by having each
agent dynamically and incrementally centralize relevant portions of a
shared problem in order to rapidly converge on a globally acceptable
solution. This technique is effective because it uses the structure
of the problem and current solution state to focus computation while
simultaneously exploiting the speed of centralized algorithms.
Philosophically, this work represents a change in focus in distributed
problem solving because, unlike techniques that attempt to maintain
complete distribution of knowledge and control, this technique
capitalizes on the observation that some centralization is always
In this talk, I will describe the scalable, periodic, anytime
mediation protocol which was created for solving real-time,
distributed resource allocation problems in a real-world sensor
network. I will show how the key ideas from this protocol lead to the
inception of the cooperative mediation paradigm and subsequently to
the creation of an entire family of algorithms for solving a variety
of distributed problems.
Most notably among these algorithms are asynchronous partial overlay
(APO) for solving distributed constraint satisfaction problems and
optimal asynchronous partial overlay (OptAPO) for solving distributed
constraint optimization problems. These algorithms have been
extensively analyzed and tested and shown to be superior to the
previously best-known algorithms for solving these problems. I will
conclude my talk by showing an application of the APO algorithm to the
problem of distributed airspace deconfliction. Additional
applications of cooperative mediation include supply chain and
work-flow management and distributed scheduling and resource
Roger Mailler received a PhD from the University of Massachusetts in
May 2004 and a B.S. with Honors in computer science from the State
University of New York at Stony Brook in 1999. He currently works as
a Postdoctoral associate at the Intelligent Information Systems
Institute (IISI) at Cornell University where he acts as the liaison to
the Air Force Research Lab (AFRL) in Rome, NY. His main research interests
are multi-agent systems, distributed constraint satisfaction and
optimization, distributed sensor networks, and machine learning.
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