Planning under uncertainty is an important and challenging problem in multiagent systems. Multiagent Partially Observable Markov Decision Processes (MPOMDPs) provide a powerful fr...
Creating coordinated multiagent policies in environments with uncertainty is a challenging problem, which can be greatly simplified if the coordination needs are known to be limi...
Visual cortex neurons have receptive fields resembling oriented bandpass filters, and their response distributions on natural images are non-Gaussian. Inspired by this, we previou...
We assume that safety of information stored in a database depends on the reliability of the agents who have performed the insertions in the database. We present a logic S to repres...
Laurence Cholvy, Robert Demolombe, Andrew J. I. Jo...
We present a system that enables applications to discover and obtain information that describes the context of a particular entity (e.g., a user or a device). Our system revolves ...