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SAGA
2007
Springer
14 years 1 months ago
Probabilistic Techniques in Algorithmic Game Theory
We consider applications of probabilistic techniques in the framework of algorithmic game theory. We focus on three distinct case studies: (i) The exploitation of the probabilistic...
Spyros C. Kontogiannis, Paul G. Spirakis
JAIR
2008
135views more  JAIR 2008»
13 years 7 months ago
On Similarities between Inference in Game Theory and Machine Learning
In this paper, we elucidate the equivalence between inference in game theory and machine learning. Our aim in so doing is to establish an equivalent vocabulary between the two dom...
Iead Rezek, David S. Leslie, Steven Reece, Stephen...
ICC
2007
IEEE
158views Communications» more  ICC 2007»
14 years 1 months ago
Cooperative Game Theory for Distributed Spectrum Sharing
— There is a need for new spectrum access protocols that are opportunistic, flexible and efficient, yet fair. Game theory provides a framework for analyzing spectrum access, a ...
Juan E. Suris, Luiz A. DaSilva, Zhu Han, Allen B. ...
KDD
2009
ACM
172views Data Mining» more  KDD 2009»
14 years 2 months ago
The role of game theory in human computation systems
The paradigm of “human computation” seeks to harness human abilities to solve computational problems or otherwise perform distributed work that is beyond the scope of current ...
Shaili Jain, David C. Parkes
VL
2008
IEEE
113views Visual Languages» more  VL 2008»
14 years 2 months ago
A visual language for representing and explaining strategies in game theory
We present a visual language for strategies in game theory, which has potential applications in economics, social sciences, and in general science education. This language facilit...
Martin Erwig, Eric Walkingshaw