More and more distributed systems include agents that
interact in various and varying degrees of collaboration and
competition. For example, in telecommunication protocols,
inter-domain routing often involves routes that belong to
commercial companies whose benefits are function of the involved
traffic, and hence function of a global competition. As another
example, in the computational grid, tasks must often be scheduled
on machines, that may belong to several organizations that have
their own objectives. This may lead to globally sub-optimal load
balancing situations resulting of the competition between
organizations that have to optimize their own objectives. This
workshop is devoted to problems related to learning equilibria
techniques and the study of the properties of solution points in
networks and distributed systems.
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