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Bilattices and the Semantics of Logic Programming
Bilattices and the Semantics of Logic Programming

Beginning Logic - University of Notre Dame
Beginning Logic - University of Notre Dame

No Syllogisms for the Numerical Syllogistic
No Syllogisms for the Numerical Syllogistic

vmcai - of Philipp Ruemmer
vmcai - of Philipp Ruemmer

An Introduction to Prolog Programming
An Introduction to Prolog Programming

Insights into Modal Slash Logic and Modal Decidability
Insights into Modal Slash Logic and Modal Decidability

Introduction to mathematical arguments
Introduction to mathematical arguments

Pebble weighted automata and transitive - LSV
Pebble weighted automata and transitive - LSV

Separation of Multilinear Circuit and Formula Size
Separation of Multilinear Circuit and Formula Size

Appendix Plank Problems
Appendix Plank Problems

Safety Metric Temporal Logic is Fully Decidable
Safety Metric Temporal Logic is Fully Decidable

Elementary Logic
Elementary Logic

solutions - UCLA Department of Mathematics
solutions - UCLA Department of Mathematics

... bird that eats fish, and this bird is not a Pelican. Now, for all creatures c, if P (c) then F (c) is true. So, the contrapositive must also be true: for all creatures c, if ∼ F (c) then ∼ P (c). That is, we know that (iv) is true. To summarize so far, we know that (i) and (iv) are true, but we can ...
Graph Logics with Rational Relations and the Generalized
Graph Logics with Rational Relations and the Generalized

High Level Verification of Control Intensive Systems
High Level Verification of Control Intensive Systems

... sive systems, a blowup of the abstract model is likely when using existing predicate abstraction methods. Furthermore, building the abstract model using equations (6) and (7) is time consuming. Both these problems can be avoided by using our technique of combining the localization reduction with pre ...
Twenty Problems for GCSE Students (with hints and prompts)
Twenty Problems for GCSE Students (with hints and prompts)

pdf
pdf

A Proof Theory for Generic Judgments
A Proof Theory for Generic Judgments

... Γ0 , ∀xB −→ C is proved using the introduction of ∀ on the left from the premise Γ0 , B[t/x] −→ C, where t is some term. To reduce the rank of the cut formula ∀x.B between the sequents Γ −→ ∀x.B and Γ0 , ∀xB −→ C, the eigenvariable c in the sequent calculus proof Π(c) must be substituted by t to yie ...
Constraint Satisfaction Problems with Infinite Templates
Constraint Satisfaction Problems with Infinite Templates

... vertices x and y if there is the constraint ‘x < y’ in the instance. It is easy to see that an instance homomorphically maps to (Q, <) if and only if there is no directed cycle in the graph. Again, this can be tested in linear time, e.g., by depth-first search. Example 3. The so-called betweenness ...
HKT Chapters 1 3
HKT Chapters 1 3

An Introduction to Mathematical Logic
An Introduction to Mathematical Logic

... Internet: check out http://world.logic.at/ ...
Robust estimation and control under commitment Lars Peter Hansen a
Robust estimation and control under commitment Lars Peter Hansen a

Inference and resolution for problem solving
Inference and resolution for problem solving

pdf
pdf

Answers to Selected Problems
Answers to Selected Problems

< 1 2 3 4 5 6 7 8 ... 25 >

Boolean satisfiability problem

In computer science, the Boolean Satisfiability Problem (sometimes called Propositional Satisfiability Problem and abbreviated as SATISFIABILITY or SAT) is the problem of determining if there exists an interpretation that satisfies a given Boolean formula. In other words, it asks whether the variables of a given Boolean formula can be consistently replaced by the values TRUE or FALSE in such a way that the formula evaluates to TRUE. If this is the case, the formula is called satisfiable. On the other hand, if no such assignment exists, the function expressed by the formula is identically FALSE for all possible variable assignments and the formula is unsatisfiable. For example, the formula ""a AND NOT b"" is satisfiable because one can find the values a = TRUE and b = FALSE, which make (a AND NOT b) = TRUE. In contrast, ""a AND NOT a"" is unsatisfiable.SAT is one of the first problems that was proven to be NP-complete. This means that all problems in the complexity class NP, which includes a wide range of natural decision and optimization problems, are at most as difficult to solve as SAT. There is no known algorithm that efficiently solves SAT, and it is generally believed that no such algorithm exists; yet this belief has not been proven mathematically, and resolving the question whether SAT has an efficient algorithm is equivalent to the P versus NP problem, which is the most famous open problem in the theory of computing.Despite the fact that no algorithms are known that solve SAT efficiently, correctly, and for all possible input instances, many instances of SAT that occur in practice, such as in artificial intelligence, circuit design and automatic theorem proving, can actually be solved rather efficiently using heuristical SAT-solvers. Such algorithms are not believed to be efficient on all SAT instances, but experimentally these algorithms tend to work well for many practical applications.
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