State machines consume and process actions complementary to programs issuing actions. State machines maintain a state and reply with a boolean response to each action in their int...
Rich representations in reinforcement learning have been studied for the purpose of enabling generalization and making learning feasible in large state spaces. We introduce Object...
Abstract. We describe an approach to designing and implementing a distributed system as a family of related finite state machines, generated from a single abstract model. Various a...
Graham N. C. Kirby, Alan Dearle, Stuart J. Norcros...
Abstract. Exploration algorithms are relevant to the industrial practice of gentest cases from an abstract state machine whose runs define the predicted behavior of the software s...
Abstract. Hierarchical and recursive state machines are suitable abstract models for many software systems. In this paper we extend a model recently introduced in literature, by al...
Salvatore La Torre, Margherita Napoli, Mimmo Paren...