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AAMAS
2005
Springer
13 years 7 months ago
Cooperative Multi-Agent Learning: The State of the Art
Cooperative multi-agent systems are ones in which several agents attempt, through their interaction, to jointly solve tasks or to maximize utility. Due to the interactions among t...
Liviu Panait, Sean Luke
INFORMS
1998
142views more  INFORMS 1998»
13 years 7 months ago
Distributed State Space Generation of Discrete-State Stochastic Models
High-level formalisms such as stochastic Petri nets can be used to model complex systems. Analysis of logical and numerical properties of these models often requires the generatio...
Gianfranco Ciardo, Joshua Gluckman, David M. Nicol
TSE
2002
122views more  TSE 2002»
13 years 7 months ago
Virtual Benchmarking and Model Continuity in Prototyping Embedded Multiprocessor Signal Processing Systems
The complexity of hardware/software codesign of embedded real-time signal processing systems can be reduced by rapid system prototyping (RSP). However, existing RSP frameworks do n...
Randall S. Janka, Linda M. Wills, Lewis B. Baumsta...
DIALM
2010
ACM
194views Algorithms» more  DIALM 2010»
13 years 5 months ago
Prioritized gossip in vehicular networks
We present a method for using real world mobility traces to identify tractable theoretical models for the study of distributed algorithms in mobile networks. We validate the metho...
Alejandro Cornejo, Calvin C. Newport
IMC
2010
ACM
13 years 5 months ago
Revisiting the case for a minimalist approach for network flow monitoring
Network management applications require accurate estimates of a wide range of flow-level traffic metrics. Given the inadequacy of current packet-sampling-based solutions, several ...
Vyas Sekar, Michael K. Reiter, Hui Zhang
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