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ATAL
2010
Springer
13 years 11 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
AAMAS
2010
Springer
13 years 10 months ago
Evolutionary mechanism design: a review
Abstract The advent of large-scale distributed systems poses unique engineering challenges. In open systems such as the internet it is not possible to prescribe the behaviour of al...
Steve Phelps, Peter McBurney, Simon Parsons
DC
2008
13 years 10 months ago
Fast computation by population protocols with a leader
Fast algorithms are presented for performing computations in a probabilistic population model. This is a variant of the standard population protocol model--in which finite-state ag...
Dana Angluin, James Aspnes, David Eisenstat
GAMESEC
2011
287views Game Theory» more  GAMESEC 2011»
12 years 10 months ago
Collaborative Location Privacy with Rational Users
Recent smartphones incorporate embedded GPS devices that enable users to obtain geographic information about their surroundings by providing a location-based service (LBS) with the...
Francisco Santos, Mathias Humbert, Reza Shokri, Je...
ICSE
2009
IEEE-ACM
14 years 11 months ago
Analyzing critical process models through behavior model synthesis
Process models capture tasks performed by agents together with their control flow. Building and analyzing such models is important but difficult in certain areas such as safety-cr...
Christophe Damas, Bernard Lambeau, Francois Roucou...