In learning belief networks, the single link lookahead search is widely adopted to reduce the search space. We show that there exists a class of probabilistic domain models which ...
Quantitative techniques have traditionally been used to assess software architectures. We have found that early in the development process there is often insufficient quantitative...
Fagin, Halpern, Moses, and Vardi have proposed a framework of epistemic agents with multiple “frames of mind” (local-reasoning structures), to solve problems concerning incons...
Abstract. In this paper, we present the results of a pilot study of a human robot interaction experiment where the rhythm of the interaction is used as a reinforcement signal to le...
Classifying nodes in networks is a task with a wide range of applications. It can be particularly useful in anomaly and fraud detection. Many resources are invested in the task of...
Mary McGlohon, Stephen Bay, Markus G. Anderle, Dav...