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» An Approach to Compositional Model Checking
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98
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IJCAI
2003
15 years 1 months ago
Multiple-Goal Reinforcement Learning with Modular Sarsa(0)
We present a new algorithm, GM-Sarsa(0), for finding approximate solutions to multiple-goal reinforcement learning problems that are modeled as composite Markov decision processe...
Nathan Sprague, Dana H. Ballard
86
Voted
PADL
2004
Springer
15 years 6 months ago
Compositional Model-Views with Generic Graphical User Interfaces
Abstract. Creating GUI programs is hard even for prototyping purposes. Using the model-view paradigm makes it somewhat simpler since the model-view paradigm dictates that the model...
Peter Achten, Marko C. J. D. van Eekelen, Marinus ...
SOCO
2010
Springer
14 years 10 months ago
Managing Variability in Workflow with Feature Model Composition Operators
Abstract. In grid-based scientific applications, building a workflow essentially involves composing parameterized services describing families of services and then configuring the ...
Mathieu Acher, Philippe Collet, Philippe Lahire, R...
TABLEAUX
2007
Springer
15 years 6 months ago
Bounded Model Checking with Description Logic Reasoning
Abstract. Model checking is a technique for verifying that a finite-state concurrent system is correct with respect to its specification. In bounded model checking (BMC), the sys...
Shoham Ben-David, Richard J. Trefler, Grant E. Wed...
94
Voted
PPDP
2004
Springer
15 years 6 months ago
Model checking object petri nets in prolog
Object Petri nets (OPNs) provide a natural and modular method for modelling many real-world systems. We give a structure-preserving translation of OPNs to Prolog by encoding the O...
Berndt Farwer, Michael Leuschel