The entries in the previous table summarize the fact that Boolean satisfiability is a weak method that admits efficient implementations. The representation is relatively inefficient, and none of our ...
Abstract: We present two novel algorithms for learning formulas in Linear Temporal Logic (LTL) from examples. The first learning algorithm reduces the learning task to a series of satisfiability ...
Abstract: Boolean satisfiability (SAT), a non-deterministic polynomial (NP)-complete problem, has gained increasing attention with applications in artificial intelligence, machine learning, electronic ...
The International Conference on Theory and Applications of Satisfiability Testing (SAT) is the premier annual meeting for researchers focusing on the theory and applications of the propositional ...
pySMT makes working with Satisfiability Modulo Theory simple: this will additionally install the pysmt-install command, that can be used to install the solvers: e.g., $ pysmt-install --check will show ...
The rise of AI, graphic processing, combinatorial optimization and other data-intensive applications has resulted in data-processing bottlenecks, as ever greater amounts of data must be shuttled back ...
Combinatorial optimization is of general interest for both theoretical study and real-world applications. Fast-developing quantum algorithms provide a different perspective on solving combinatorial ...
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