Bayesian networks provide a modeling language and associated inference algorithm for stochastic domains. They have been successfully applied in a variety of medium-scale applicati...
Consider a multiple-agent transition system such that, for some basic types T1, . . . , Tn, the state of any agent can be represented as an element of the Cartesian product T1 ×·...
We present a method of grounded word learning that is powerful enough to learn the meanings of first and second person pronouns. The model uses the understood words in an utteran...
The success of stochastic algorithms is often due to their ability to effectively amplify the performance of search heuristics. This is certainly the case with stochastic sampling ...
Making effective use of computational Grids requires scheduling Grid applications onto resources that best match them. Resource-related state (e.g., load, availability, and locati...
Ronak Desai, Sameer Tilak, Bhavin Gandhi, Michael ...