FMSD
2010
13 years 9 months ago
2010
aware counter abstraction G
PE
2000
Springer
14 years 6 days ago
2000
Springer
Conventional methods for state space exploration are limited to the analysis of small systems because they suffer from excessive memory and computational requirements. We have dev...
DEDS
2002
14 years 7 days ago
2002
We propose an approach that integrates and extends known techniques from different areas to handle and analyze a complex and large system described as a network of synchronized com...
STTT
2008
14 years 10 days ago
2008
Explicit model checking algorithms explore the full state space of a system. State spaces are usually treated as directed graphs without any specific features. We gather a large co...
FMSD
2007
14 years 11 days ago
2007
Symbolic techniques based on Binary Decision Diagrams (BDDs) are widely employed for reasoning about temporal properties of hardware circuits and synchronous controllers. However, ...
JMLR
2008
14 years 12 days ago
2008
Many complex control problems require sophisticated solutions that are not amenable to traditional controller design. Not only is it difficult to model real world systems, but oft...
ENTCS
2006
14 years 13 days ago
2006
We consider the issue of exploiting the structural form of ESTEREL programs to partition the algorithmic RSS (reachable state space) fix-point construction used in model-checking t...
ENTCS
2006
14 years 13 days ago
2006
We demonstrate a novel simulation technique for analysing large stochastic process algebra models, applying this to a secure electronic voting system example. By approximating the...
AAAI
1996
14 years 1 months ago
1996
Markov decision processes (MDPs) are a very popular tool for decision theoretic planning (DTP), partly because of the welldeveloped, expressive theory that includes effective solu...
AAAI
1998
14 years 1 months ago
1998
Reinforcement learning is an effective technique for learning action policies in discrete stochastic environments, but its efficiency can decay exponentially with the size of the ...