In many parts of the world there is a growing demand for participation in public policy decision making. This demand could be satisfied by the design and deployment of webbased gr...
Planning under uncertainty is an important and challenging problem in multiagent systems. Multiagent Partially Observable Markov Decision Processes (MPOMDPs) provide a powerful fr...
This work is devoted to lattice-based information representation of correlations among delivery criteria in transport logistics. The number of delivery criteria, their ranking acc...
In the Newcomb problem, the standard arguments for taking either one box or both boxes adduce what seem to be relevant considerations, but they are not complete arguments, and att...
Decision making in complex environments in the face of uncertain and missing information is a daunting task. We describe a modeling and simulation based approach to providing plan...
W. Scott Neal Reilly, Sean L. Guarino, Bret Kellih...