Proposed text to specify an interval class in the C++ standard library, with justification and background. Contents I Motivation and Scope 3 II Foundations 3 IIIImpact on the Stan...
Bayesian network is a popular modeling tool for uncertain domains that provides a compact representation of a joint probability distribution among a set of variables. Even though ...
Witnesses and counterexamples produced by model checkers provide a very useful source of diagnostic information. They are usually returned in the form of a single computation path ...
Robert Meolic, Alessandro Fantechi, Stefania Gnesi
A major difficulty in building Bayesian network models is the size of conditional probability tables, which grow exponentially in the number of parents. One way of dealing with th...
We propose a new set of criteria for learning algorithms in multi-agent systems, one that is more stringent and (we argue) better justified than previous proposed criteria. Our cr...