Multiagent planning deals with the problem of generating plans for multiple agents. It requires formalizing ways for the agents to interact and cooperate, in order to achieve their...
Logic-based probabilistic models (LBPMs) enable us to handle problems with uncertainty succinctly thanks to the expressive power of logic. However, most of LBPMs have restrictions...
This paper presents an approach to artificial intelligence planning based on linear temporal logic (LTL). A simple and easy-to-use planning language is described, PDDL-K (Planning...
Marta Cialdea Mayer, Carla Limongelli, Andrea Orla...
This paper presents the planning system Pdk (Planning with Domain Knowledge), based on the translation of planning problems into Linear Time Logic theories, in such a way that fin...
Marta Cialdea Mayer, Carla Limongelli, Andrea Orla...
Abstract. In this paper, we present a three-valued property driven model checking algorithm for the logic CTL on hybrid automata. The technique of multivalued model checking for hy...
Kerstin Bauer, Raffaella Gentilini, Klaus Schneide...