Agent training techniques study methods to embed empirical, inductive knowledge representations into intelligent agents, in dynamic, recursive or semi-automated ways, expressed in...
Grid computing is a form of distributed computing that involves coordinating and sharing computing, application, data storage or network resources across dynamic and geographicall...
—Synchronous languages offer a deterministic model of concurrency at the level of actions. However, essentially all compilers for synchronous languages compile these actions into...
: This paper describes a knowledge model for a configuration problem in the domain of traffic control. The goal of this model is to help traffic engineers in the dynamic selection ...
The use of a single pass/fail threshold for IDDQ testing is unworkable as chip background currents increase to the point where they exceed many defect currents. This paper describ...
Peter C. Maxwell, Pete O'Neill, Robert C. Aitken, ...