The induction of knowledge from a data set relies in the execution of multiple data mining actions: to apply filters to clean and select the data, to train different algorithms (...
Our concern in this paper is with conjecturing diagnoses to explain what happened to a system, given a theory of system behaviour and some observed (aberrant) behaviour. We charac...
We examine the issues that arise in extending an estimatedregression (ER) planner to reason about autonomous processes that run and have continuous and discrete effects without th...
Knowledge compilation [6, 5, 14, 8] consists in transforming a problem offline into a form which is tractable online. In this paper, we introduce new structures, based on the notio...
One of the major advances in classical planning has been the development of Graphplan. Graphplan builds a layered structure called the planning graph, and then searches this struc...