Abstract. The correctness of a system according to a given specification is essential, especially for safety-critical applications. One such typical application domain is the autom...
Jewgenij Botaschanjan, Alexander Gruler, Alexander...
A new, general approach is described for approximate inference in first-order probabilistic languages, using Markov chain Monte Carlo (MCMC) techniques in the space of concrete po...
An object-oriented (OO) framework for Partial tial Equations (PDEs) provides software abstractions for numerical simulation of PDEs. The design of such frameworks is not trivial, a...
Magne Haveraaen, Hans Z. Munthe-Kaas, Krister &Ari...
The great majority of genetic programming (GP) algorithms that deal with the classification problem follow a supervised approach, i.e., they consider that all fitness cases availab...
Junio de Freitas, Gisele L. Pappa, Altigran Soares...
Abstract. Propositional satisfiability (SAT) is a success story in Computer Science and Artificial Intelligence: SAT solvers are currently used to solve problems in many different ...
Emanuele Di Rosa, Enrico Giunchiglia, Marco Marate...