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JLP
2002
90views more  JLP 2002»
14 years 9 months ago
Combining programs and state machines
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...
Jan A. Bergstra, Alban Ponse
82
Voted
ICML
2008
IEEE
15 years 10 months ago
An object-oriented representation for efficient reinforcement learning
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...
Carlos Diuk, Andre Cohen, Michael L. Littman
86
Voted
ICSE
2007
IEEE-ACM
15 years 3 months ago
Design, Implementation and Deployment of State Machines Using a Generative Approach
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...
ASM
2005
ASM
15 years 3 months ago
State Exploration with Multiple State Groupings
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...
Colin Campbell, Margus Veanes
73
Voted
ICALP
2003
Springer
15 years 2 months ago
Hierarchical and Recursive State Machines with Context-Dependent Properties
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...