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AAMAS
2005
Springer
15 years 4 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
ANOR
2005
102views more  ANOR 2005»
15 years 4 months ago
Locating Active Sensors on Traffic Networks
Sensors are used to monitor traffic in networks. For example, in transportation networks, they may be used to measure traffic volumes on given arcs and paths of the network. This p...
Monica Gentili, Pitu B. Mirchandani
CONSTRAINTS
1998
127views more  CONSTRAINTS 1998»
15 years 4 months ago
Experimental Analysis of Numeric and Symbolic Constraint Satisfaction Techniques for Temporal Reasoning
Many temporal applications like planning and scheduling can be viewed as special cases of the numeric and symbolic temporal constraint satisfaction problem. Thus we have developed ...
Malek Mouhoub, François Charpillet, Jean Pa...
MP
2007
145views more  MP 2007»
15 years 3 months ago
Machine scheduling with resource dependent processing times
We consider machine scheduling on unrelated parallel machines with the objective to minimize the schedule makespan. We assume that, in addition to its machine dependence, the proce...
Alexander Grigoriev, Maxim Sviridenko, Marc Uetz
IJHPCA
2010
84views more  IJHPCA 2010»
15 years 2 months ago
Operation Stacking for Ensemble Computations With Variable Convergence
Sparse matrix operations achieve only small fractions of peak CPU speeds because of the use of specialized, indexbased matrix representations, which degrade cache utilization by i...
Mehmet Belgin, Godmar Back, Calvin J. Ribbens