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SIGECOM
2006
ACM
107views ECommerce» more  SIGECOM 2006»
14 years 1 months ago
Networks preserving evolutionary equilibria and the power of randomization
We study a natural extension of classical evolutionary game theory to a setting in which pairwise interactions are restricted to the edges of an undirected graph or network. We ge...
Michael S. Kearns, Siddharth Suri
AI
2007
Springer
13 years 7 months ago
An economist's perspective on multi-agent learning
We comment on the Shoham, Powers, and Grenager survey of multi-agent learning and game theory, emphasizing that some of their categories are important for economics and others are...
Drew Fudenberg, David K. Levine
CORR
2006
Springer
103views Education» more  CORR 2006»
13 years 7 months ago
Positional Determinacy of Games with Infinitely Many Priorities
We study two-player games of infinite duration that are played on finite or infinite game graphs. A winning strategy for such a game is positional if it only depends on the current...
Erich Grädel, Igor Walukiewicz
SAGT
2010
Springer
127views Game Theory» more  SAGT 2010»
13 years 6 months ago
On the Rate of Convergence of Fictitious Play
Fictitious play is a simple learning algorithm for strategic games that proceeds in rounds. In each round, the players play a best response to a mixed strategy that is given by the...
Felix Brandt, Felix A. Fischer, Paul Harrenstein
GECCO
2006
Springer
189views Optimization» more  GECCO 2006»
13 years 11 months ago
Game theory as a new paradigm for phenotype characterization of genetic algorithms
In this paper, it is presented a new way to characterize the phenotype in the context of Genetic Algorithms through the use of Game Theory as a theoretical foundation to define a ...
Otávio Noura Teixeira, Artur Noura Teixeira...