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198
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ATAL
2009
Springer
16 years 2 months ago
Multiagent learning in large anonymous games
In large systems, it is important for agents to learn to act effectively, but sophisticated multi-agent learning algorithms generally do not scale. An alternative approach is to ï...
Ian A. Kash, Eric J. Friedman, Joseph Y. Halpern
GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
16 years 2 months ago
Three interconnected parameters for genetic algorithms
When an optimization problem is encoded using genetic algorithms, one must address issues of population size, crossover and mutation operators and probabilities, stopping criteria...
Pedro A. Diaz-Gomez, Dean F. Hougen
192
Voted
ATAL
2007
Springer
16 years 1 months ago
Outperforming the competition in multi-unit sealed bid auctions
In this paper, we examine the behavior of bidding agents that are in direct competition with the other participants in an auction setting. Thus the agents are not simply trying to...
Ioannis A. Vetsikas, Nicholas R. Jennings
ATAL
2007
Springer
16 years 1 months ago
Incentive compatible ranking systems
Ranking systems are a fundamental ingredient of multi-agent environments and Internet Technologies. These settings can be viewed as social choice settings with two distinguished p...
Alon Altman, Moshe Tennenholtz
240
Voted
CSR
2007
Springer
16 years 1 months ago
Marrying Words and Trees
Traditionally, data that has both linear and hierarchical structure, such as annotated linguistic data, is modeled using ordered trees and queried using tree automata. In this pap...
Rajeev Alur