DIMACS Workshop on Computational Issues in Game Theory and Mechanism Design
October 31 - November 2, 2001
DIMACS Center, Rutgers University, Piscataway
- Organizers:
- Vijay Vazirani, Georgia Tech, vazirani@cc.gatech.edu
- Noam Nisan, Hebrew University, Jerusalem, Israel, noam@cs.huji.ac.il
Presented under the auspices of Next Generation Networks Technologies and Applications and Social Science Methods and Information Technology.
Workshop Program:
Wednesday, October 31, 2001
8:45-9:15 Breakfast and Registration
9:15-9:20 Welcome and Greeting:
Fred S. Roberts, DIMACS Director
9:20-9:30 Welcome and Greeting:
Noam Nisan, Hebrew University
Vijay Vazirani, Georgia Tech
Session Chair: Vijay Vazirani, Georgia Tech
9:30-10:30 Christos Papadimitriou, University of California - Berkeley
Algorithmic Issues in Game Theory
10:30-11:15 Jon Kleinberg Cornell University
Fairness Measures in Optimization
Tal Rabin, IBM
A Cryptographic Solution to a Game Theoretic Problem
11:15-11:45 Break
11:45-12:30 Kamal Jain, Microsoft Research
Equitable, Group Strategyproof Cost Allocations via
Primal-Dual-Type Algorithms
Michael Kearns, Syntek Capital
Graphical Models for Game Theory
12:30-2:00 Lunch
Session Chair: Joan Feigenbaum, Yale University
2:00-3:00 Scott Shenker, University of California - Berkeley
Mechanism Design and the Internet
3:00-4:15 Eric Friedman, Cornell University
A Generic Analysis of Selfish Routing
Peter Key, Microsoft Research, Cambridge
Mixing Streaming and Flow-Controlled Traffic in Networks:
Distributed Control Incentives
Elias Koutsoupias, UCLA
Selfish Resource Allocation
4:15-4:45 Break
4:45-6:00 Rahul Sami, Yale University
Approximation and Collusion in Multicast Cost Sharing
Eva Tardos, Cornell University
How Bad is Selfish Routing?
Tim Roughgarden, Cornell University
Designing Networks for Selfish Users is Hard
8:00- Rump session - Session Chair: Noam Nisan, Hebrew University
All participants are invited to make 5 minute presentations.
Please send title and (optional) abstract plus URL to a paper
or a presentation to Noam Nisan at Noam@cs.huji.ac.il.
Vijay Vazirani, Georgia Tech
Strategyproof profit-maximization via fixed point computations
(work in progress) Joint work with Aranyak Mehta and
Scott Shenker.
Tim Roughgarden, Cornell University
The Price of Anarchy is Independent of the
Network Topology
Chris Dellarocas, MIT and NYU
Dynamic optimization framework for designing
effective online reputation mechanisms
Sasa Pekec, The Fuqua School of Business, Duke University
Data aggregation in combinatorial auction design
Ahuva Mualem, Hebrew University
Truthful Approximation Mechanisms for Restricted
Combinatorial Auctions
Ron Lavi, Hebrew University
Competitive Analysis of Incentive Compatible Online Auctions
Liad Blumrosen, Hebrew University
Auctions with bounded communication
Daniel Grosu, University of Texas, San Antonio
A Cooperative Load Balancing Game in Distributed Systems
Aaron Archer, Cornell University
Mechanisms for One-Parameter Agents
Michael Rothkopf, Rutgers University
Designing and Analyzing Auctions: the Devil is in the details
(and not just on Halloween) and some scary heresies
Arvind Krishnamurty, Yale University
Lower Bounds on Multicast Cost Sharing
Joan Feigenbaum, Yale University
Incentive-compatible Interdomain Routing
(Joint work with Christos Papadimitriou, Rahul Sami
and Scott Shenker)
David M. Pennock, NEC
Compact Securities Markets for Minimizing Risk and
Maximizing Information
Artur Czumaj, New Jersey Institute of Technology
Tight Bounds for Worst-Case Equilibria
Thursday, November 1, 2001
8:30-9:00 Breakfast and Registration
Session Chair: Michael Rothkopf, Rutgers University
9:00-10:00 Rakesh Vohra, Northwestern University
Combinatorial Auctions
10:00-11:15 Daniel Lehmann, Hebrew University
Combinatorial Auctions with Decreasing Marginal Utilities
David Parkes, Harvard University
Minimal Preference Elicitation: An Equilibrium Approach
Tuomas Sandholm, Carnegie Mellon University
Bidding Agents with Complex Valuation Problems in Autions
11:15-11:45 Break
11:45-1:00 Ion Mandoiu, Georgia Tech
XOR Auctions with Buyer Preferences and Seller Priorities
Sven de Vries, Munchen
Linear Programming and Ascending Auctions
Ilya Segal, Stanford University
The Communication Complexity of Efficient Discrete Allocations
1:00-2:30 Lunch
Session Chair: Chris Dellarocas, MIT and NYU
2:30-3:30 Michael Wellman, University of Michigan
Trading Agents
3:30-4:40 Amy Greenwald, Brown University
Correlated Q-Learning
Bhaskar Dutta, Indian Statistical Institute, Delhi
Cost Momotonicity, Consistency and Minimum Cost Spanning
Tree Games
Rudolf Muller, Maastricht University
On the Complexity of Auctions
4:40-5:00 Break
5:00-6:30 Panel Discussion: Computer Science and Game Theory
Methodological Differences and How to Overcome Them
Moderator: Rakesh Vohra, Northwestern University
John Nash, Princeton University
Andrew Odlyzko, University of Minnesota
Christos Papadimitriou, University of California, Berkeley
Mark Satterthwaite, Northwestern University
Scott Shenker, University of California, Berkeley
Micahel Wellman, University of Michigan
7:15- Banquet (at the Holiday Inn in South Plainfield)
Friday, November 2, 2001
8:30-9:00 Breakfast and Registration
Session Chair: TBA
9:00-10:00 Mark A. Satterthwaite, Northwestern University
Mechanism Design Under Incomplete Information:
Uses, Limitations and the Necessity of Computational Approaches
10:00-10:45 Ilan Kremer, Stanford University
Divisible Good Auctions - the role of allocation rules
Amir Ronen, Stanford University
On Approximating Optimal Auctions
10:45-11:15 Break
11:15-12:30 Andrew V. Goldberg, InterTrust STAR Lab
Design of Competitive Mechanisms
Jason Hartline, Washington University
Two Results On Competitive Auctions
Anna Karlin, Washington University
Open Problems in Competitive Auction Design
12:30-2:00 Lunch
Session Chair: TBA
2:00-3:00 Andrew Odlyzko, University of Minnesota
Pricing, Behavioral Economics and Mechanism Design
3:00-3:45 Michel Goemans, MIT
Cooperative Facility Location Games
Jeffrey MacKie-Mason, University of Michigan
An Evolutionary Games Analysis of Bidding Strategies in a
Scheduling Auction
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Document last modified on October 29, 2001.