We present the ColoredPower algorithm, which is designed to provide collaborative electricity demand shaping for residential and small-business customers. Demand shaping for this m...
Bayesian networks (BN) constitute a useful tool to model the joint distribution of a set of random variables of interest. To deal with the problem of learning sensible BN models fr...
Abstract. This paper presents a scalable approach to reasoning formally about distributed algorithms. It uses results about I O automata to extract a set of proof obligations for s...
Due to the widespread availability of accurate localization technologies, navigation systems are more and more present on mobile devices. These applications usually provide facili...
Many problem-solving tasks can be formalized as constraint satisfaction problems (CSPs). In a multi-agent setting, information about constraints and variables may belong to differ...