Exact(43)
This talk presents a Boolean approach to modeling and verifying timed systems, with a focus on self-timed circuits.
The use of a Boolean approach in both modeling and verification enables reasoning about larger circuits than previous methods; among other results, our verifier found a potential error in a published self-timed circuit of a widely-used industrial microprocessor.
I will first discuss how circuits are modeled as timed automata where most timing assumptions are modeled using Boolean variables based on the notion of "generalized relative timing". Next, I will describe a purely Boolean approach to the fully symbolic model checking of timed automata, which is based on transformations to problems in the Boolean domain, such as Boolean satisfiability solving.
His proposals are made in the Boolean approach criticized in the last section.
The Boolean approach is based on a reclassification operation and specified cutoffs.
The output maps were generated using a Boolean approach and a WLC method [21].
Similar(17)
Boolean approaches to land suitability treat both the spatial units and the value ranges as clearly defined.
In addition to the Boolean approaches, transcriptional networks have been modeled using a variety of other methods, such as Bayesian networks [12], Petri nets [13] or, recently, Gaussian processes [14], [15].
There are complementary modeling approaches that minimize these requirements, such as logic-based Boolean approaches (for a review of this approach, see [ 18, 19]).
The difficulty to interpret the dynamics in terms of biological time has led to several works that have generalized Boolean approaches.
Interactions between the regulatory and metabolic networks are also modeled using Boolean approaches by turning on or off metabolic gene expression in response to transcriptional factor (TF) status.
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Justyna Jupowicz-Kozak
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