Discrete-event dynamic systems with feedback, where the behavior of the system depends on the system state, are difficult to model due to the uncertainties and dependencies of sys...
Decision makers on supply chains face an uncertain, dynamic, and strategic multiagent environment. We report on Deep Maize, an agent we designed to participate in the 2003 Trading...
Christopher Kiekintveld, Michael P. Wellman, Satin...
An increasing number of planners can handle uncertainty in the domain or in action outcomes. However, less work has addressed building plans when the planner's world can chan...
Classification methods from statistical pattern recognition, neural nets, and machine learning were applied to four real-world data sets. Each of these data sets has been previous...
We present a new control design method for perturbed multiple-input systems, which guarantees any desired componentwise ultimate bound on the system state. The method involves eig...