We give a fast and practical algorithm for statistical learning hyperparameters from observable data in probabilistic image processing, which is based on Gaussian graphical model ...
An intelligent agent will often be uncertain about various properties of its environment, and when acting in that environment it will frequently need to quantify its uncertainty. ...
Just as POMDPs have been used to reason explicitly about uncertainty in single-agent systems, there has been recent interest in using multi-agent POMDPs to coordinate teams of age...
Teachers working in robotics classes face a major problem: how to keep track on individual students’ or even small groups’ progress in a class of 30-40 students. A multi-agent...
Ilkka Jormanainen, Yuejun Zhang, Kinshuk, Erkki Su...
Abstract. This paper presents a general multi-agent architecture for the management of businessprocesses,and an agent designthat has been implemented within such a system. The auto...
Timothy J. Norman, Nicholas R. Jennings, Peyman Fa...