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IJAR
2008
118views more  IJAR 2008»
13 years 7 months ago
Dynamic multiagent probabilistic inference
Cooperative multiagent probabilistic inference can be applied in areas such as building surveillance and complex system diagnosis to reason about the states of the distributed unc...
Xiangdong An, Yang Xiang, Nick Cercone
SIGECOM
2006
ACM
142views ECommerce» more  SIGECOM 2006»
14 years 1 months ago
Computing the optimal strategy to commit to
In multiagent systems, strategic settings are often analyzed under the assumption that the players choose their strategies simultaneously. However, this model is not always realis...
Vincent Conitzer, Tuomas Sandholm
ALGORITHMICA
2010
152views more  ALGORITHMICA 2010»
13 years 7 months ago
Gaming Prediction Markets: Equilibrium Strategies with a Market Maker
We study the equilibrium behavior of informed traders interacting with market scoring rule (MSR) market makers. One attractive feature of MSR is that it is myopically incentive com...
Yiling Chen, Stanko Dimitrov, Rahul Sami, Daniel M...
ICRA
2007
IEEE
115views Robotics» more  ICRA 2007»
14 years 2 months ago
Sensor Selection Using Information Complexity for Multi-sensor Mobile Robot Localization
—Our sensor selection algorithm targets the problem of global self-localization of multi-sensor mobile robots. The algorithm builds on the probabilistic reasoning using Bayes fil...
Sreenivas R. Sukumar, Hamparsum Bozdogan, David L....
ATAL
2007
Springer
14 years 1 months ago
Routing games with an unknown set of active players
In many settings there exists a set of potential participants, but the set of participants who are actually active in the system, and in particular their number, is unknown. This ...
Itai Ashlagi, Dov Monderer, Moshe Tennenholtz