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ICAI
2003
15 years 3 months ago
A Quantitative Model of Capabilities in Multi-Agent Systems
Reasoning about capabilities in multi-agent systems is crucial for many applications. There are two aspects of reasoning about the capabilities of an agent to achieve its goals. O...
Linli He, Thomas R. Ioerger
UAI
2000
15 years 3 months ago
Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks
Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...
Arnaud Doucet, Nando de Freitas, Kevin P. Murphy, ...
CCGRID
2008
IEEE
15 years 4 months ago
Performance Optimization for Multi-agent Based Simulation in Grid Environments
Multi-agent based simulation (MABS) is a discrete event simulation technique used to study complex systems with entities having social and autonomous behavior. MABS applications a...
Dawit Mengistu, Peter Tröger
FGCS
2007
160views more  FGCS 2007»
15 years 2 months ago
Distributed data mining in grid computing environments
The computing-intensive data mining for inherently Internet-wide distributed data, referred to as Distributed Data Mining (DDM), calls for the support of a powerful Grid with an e...
Ping Luo, Kevin Lü, Zhongzhi Shi, Qing He
136
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TPDS
2010
176views more  TPDS 2010»
15 years 24 days ago
Coupling-Based Internal Clock Synchronization for Large-Scale Dynamic Distributed Systems
This paper studies the problem of realizing a common software clock among a large set of nodes without an external time reference (i.e., internal clock synchronization), any centr...
Roberto Baldoni, Angelo Corsaro, Leonardo Querzoni...