DEC-POMDPs provide formal models of many cooperative multiagent problems, but their complexity is NEXP-complete in general. We investigate a sub-class of DEC-POMDPs termed multiage...
We have constructed ADVISOR, a two-agent machine learning architecture for intelligent tutoring systems (ITS). The purpose of this architecture is to centralize the reasoning of a...
on models are abstract representations of systems one wants to study through computer simulation. In multiagent based simulation, such models usually represent agents and their re...
One of the challenging issues in a distributed time sensitive information rich environment is how to assist the decision makers to make decisions quickly and effectively. This pap...
Guruprasad Airy, Po-Chun Chen, Xiaocong Fan, John ...
Based on the probabilistic reformulation of principal component analysis (PCA), we consider the problem of determining the number of principal components as a model selection prob...
Zhihua Zhang, Kap Luk Chan, James T. Kwok, Dit-Yan...