straction of the following scenarios: choosing from among a set of alternative treatments after a fixed number of clinical trials, determining the best parameter settings for a pro...
Many coordination algorithms claim to be general, implying that they can be used to coordinate agents in a variety of domains. However, little work has been done to quantitatively...
Yang Xu, Paul Scerri, Katia P. Sycara, Michael Lew...
Multiagent probabilistic reasoning with multiply sectioned Bayesian networks requires interfacing agent subnets (the modeling task) subject to a set of conditions. To specify the ...
We show that forms of Bayesian and MDL inference that are often applied to classification problems can be inconsistent. This means that there exists a learning problem such that fo...