Probabilistic AI planning methods that minimize expected execution cost have a neutral attitude towards risk. We demonstrate how one can transform planning problems for risk-sensi...
Abstract. The increasing adoption of MDD (Model Driven Development) techniques favored the use of large models of different types. It turns out that when the modeled system gets la...
Strong Cyclic Planning aims at generating iterative plans that only allow loops so far as there is a chance to reach the goal. The problem is already significantly complex for ful...
Piergiorgio Bertoli, Alessandro Cimatti, Marco Pis...
Researchers often express probabilistic planning problems as Markov decision process models and then maximize the expected total reward. However, it is often rational to maximize ...
Abstract. This paper investigates the challenges involve in designing a dynamic channel assignment (DCA) scheme for wireless mesh networks, particularly for multi-radio systems. It...
Tope R. Kareem, Karel Matthee, H. Anthony Chan, Nt...