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» The Contribution of Game Theory to Complex Systems
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ATAL
2010
Springer
13 years 8 months ago
Frequency adjusted multi-agent Q-learning
Multi-agent learning is a crucial method to control or find solutions for systems, in which more than one entity needs to be adaptive. In today's interconnected world, such s...
Michael Kaisers, Karl Tuyls
KDD
2008
ACM
156views Data Mining» more  KDD 2008»
14 years 8 months ago
Can complex network metrics predict the behavior of NBA teams?
The United States National Basketball Association (NBA) is one of the most popular sports league in the world and is well known for moving a millionary betting market that uses th...
Antonio Alfredo Ferreira Loureiro, Pedro O. S. Vaz...
TCOM
2010
159views more  TCOM 2010»
13 years 6 months ago
Evolutionary cooperative spectrum sensing game: how to collaborate?
—Cooperative spectrum sensing has been shown to be able to greatly improve the sensing performance in cognitive radio networks. However, if cognitive users belong to different se...
Beibei Wang, K. J. Ray Liu, T. Charles Clancy
ATAL
2010
Springer
13 years 8 months ago
Path disruption games
We propose Path Disruption Games (PDGs), which consider collaboration between agents attempting stop an adversary from travelling from a source node to a target node in a graph. P...
Yoram Bachrach, Ely Porat
FORMATS
2008
Springer
13 years 9 months ago
Average-Price and Reachability-Price Games on Hybrid Automata with Strong Resets
Abstract. We introduce and study hybrid automata with strong resets. They generalize o-minimal hybrid automata, a class of hybrid automata which allows modeling of complex continuo...
Patricia Bouyer, Thomas Brihaye, Marcin Jurdzinski...