Two approaches to logic programming with probabilities emerged over time: bayesian reasoning and probabilistic satisfiability (PSAT). The attractiveness of the former is in tying ...
The synthesis of stochastic processes using genetic programming is investigated. Stochastic process behaviours take the form of time series data, in which quantities of interest v...
Model checking is a suitable formal technique to analyze parallel programs' execution in an industrial context because automated tools can be designed and operated with very ...
Two overriding concerns in the development of embedded MPSoCs are ease of programming and hardware complexity. In this paper we present SoC-TM, an integrated HW/SW solution for tr...
Cesare Ferri, Andrea Marongiu, Benjamin Lipton, R....
Decentralized partially observable MDPs (DEC-POMDPs) provide a rich framework for modeling decision making by a team of agents. Despite rapid progress in this area, the limited sc...