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Practice and
Theory of Incentives and Game Theory in Networked Systems
Technical Program
Call For Papers
Traditional
system design assumes that all participants behave according to the
intentions
of the system architects. In reality, computer networks are
heterogeneous,
dynamic and distributed environments managed by multiple administrative
authorities and shared by users with different and competing interests.
Recently, there has been growing interest in using tools from Game
Theory (GT) and
Mechanism Design (MD) to tackle incentive-related problems in these
complex
environments. For these methods to be
successful in practical networked systems, it is vital to understand
and
incorporate realistic models and constraints for such central system
properties
as player types and strategies, scalability, asynchronicity,
observability,
verification, and frequency & time scale of interactions.
The goal of this
workshop is
to promote an exchange of ideas on the true applicability, range and
validity
of game-theoretic and economic models for analysis and design of
Internet and
Internet-based systems. We hope that this will lead to:
- More
awareness within the SIGCOMM community
of incentive-based design methodology, and techniques for applying it.
- A better
understanding among game theory
researchers of the pragmatic requirements and constraints facing real
networks,
guiding theoretical research towards more practical system engineering
scenarios.
- Strengthened
research focus in the area,
which we hope to achieve by bringing the two communities to agree on a
list of
specific sub-areas in game theory that are relevant and may be able to
capture
the characteristics, constraints, and design objectives of networked
systems.
This CFP solicits technical
or position papers of two types:
Incentives in Practice:
Papers that focus on practicality and
realistic
applications of Game Theory to networked systems. This includes:
- Potential
roles for Game Theory and Mechanism
Design in networks; e.g.
maximizing utilization, countering misbehavior, analyzing performance
impact of
selfish users, increasing robustness.
- Identifying
practical games and incentive
issues that arise in
Internet-based systems
- Applications
of incentive mechanisms (GT,
others) to Internet-based
systems (P2P, SPAM, Security, Routing, Peering, etc.)
- Methods for
creating incentives in
distributed systems: reputation,
payment, control, legal systems, etc.
- Critiques
of prior work and its relevance
Models
&
theoretical results for networked systems: Papers that assess
the applicability of
specific models and/or results in Game theory and Mechanism Design to
distributed and networked systems, or outline new approaches to
analyzing these
problems. This includes:
- Models that
capture the distributed nature of
the system,
asynchronicity, lack of a centralized trusted entity, existence of a
large and
dynamic number of players, etc.
- Relevance
of repeated games, evolutionary
game models, various solution
concepts, rationality models, etc. to networked systems
- Relevant
possibility and impossibility
results.
- Learning
and networked agents
- Sensitivity
and robustness of GT models
- Distributed
Algorithmic Mechanism Design
Submission
Instructions
Submissions
should be no
more than 8 pages in length
with 10pt fonts or larger. Register your paper at the submission page by
April 9, 2004. Submit papers in PDF or Postscript format at the submission page by
April 19 , 2004.
Important Dates:
Registration deadline: April 9, 2004
Submission
deadline: April 19, 2004
Notification: May 26, 2004
Camera ready
manuscript: June 16, 2004
Workshop date: September 3, 2004
Workshop
Organizers
Dina
Katabi, MIT
Rahul
Sami, MIT
Organizing
and Program Committee
John Chuang, U.
C. Berkeley
Jon Crowcroft , Cambridge
University
Peyman
Faratin, MIT
Dina
Katabi, MIT
Peter Key, Microsoft
Kevin Lai, HP Labs
David
Parkes, Harvard
University
Balaji
Prabhakar , Stanford
University
Tim
Roughgarden, U.C. Berkeley
Rahul
Sami, MIT
Scott
Shenker, ICSI & U.C. Berkeley
John
Wroclawski, MIT
For Further
Information
For
further information, please visit the workshop web page http://pins.csail.mit.edu
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