: This paper introduces model checking, originally conceived for checking finite state systems. It surveys its evolution to encompass finitely checkable properties of systems wit...
Supporting public participation is often a key goal in the design of digital government systems. However, years of work may be required before a complex system, such as the UrbanS...
Batya Friedman, Alan Borning, Janet Davis, Brian T...
Abstract. This paper investigates the methods for learning predictive classifiers based on Bayesian belief networks (BN) – primarily unrestricted Bayesian networks and Bayesian m...
Background: The increasing number of protein sequences and 3D structure obtained from genomic initiatives is leading many of us to focus on proteomics, and to dedicate our experim...
Commitment-modeled protocols enable flexible and robust interactions among agents. However, existing work has focused on features and capabilities of protocols without considerin...