A network of cooperating agents must be able to reach rough consensus on a set of topics for cooperation. With highly heterogeneous agents, however, incommensurable measures and i...
The task of finding the optimum of some function f(x) is commonly accomplished by generating and testing sample solutions iteratively, choosing each new sample x heuristically on t...
Oversubscribed scheduling problems require removing tasks when enough resources are not available. Prior AI approaches have mostly been constructive or repairbased heuristic searc...
Laura Barbulescu, Adele E. Howe, L. Darrell Whitle...
A methodology for surveillance of multiple targets through a distributed mobile sensor network is proposed in this paper. We examine coordination among sensors that monitor a rect...
K. Madhava Krishna, Henry Hexmoor, Subbarao Pasupu...
In the neural network literature, input feature de-correlation is often referred as one pre-processing technique used to improve the MLP training speed. However, in this paper, we...