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Proof Theory of Finite-valued Logics
Proof Theory of Finite-valued Logics

... theory requires appropriate formalisms, such as sequent calculus, natural deduction, and tableaux for classical (and intuitionistic) logic. Several people have, since the 1950’s, proposed ways to generalize such formalisms from the classical to the manyvalued case. One particular method for systemat ...
Using Modal Logics to Express and Check Global Graph Properties
Using Modal Logics to Express and Check Global Graph Properties

NumbersAndBooleanAlgebran
NumbersAndBooleanAlgebran

Realization Problem for Formal Concept Analysis
Realization Problem for Formal Concept Analysis

A note on feasibility in Benders Decomposition
A note on feasibility in Benders Decomposition

Satisfiability is Decidable for a Fragment of AMSO Logic on Infinite
Satisfiability is Decidable for a Fragment of AMSO Logic on Infinite

The Science of Proof - University of Arizona Math
The Science of Proof - University of Arizona Math

On the computational content of intuitionistic propositional proofs
On the computational content of intuitionistic propositional proofs

A brief introduction to Logic and its applications
A brief introduction to Logic and its applications

The Logic of Compound Statements
The Logic of Compound Statements

... Richard] will lend Sam money,” then Sam can deduce logically correct, that he will be able to borrow money whenever one of his three friends is willing to lend him some (p ∨ q ∨ r) p ...
IM_FA16-03-PredicateLogic
IM_FA16-03-PredicateLogic

Solutions Chapters 1–5
Solutions Chapters 1–5

One-dimensional Fragment of First-order Logic
One-dimensional Fragment of First-order Logic

... formation rule (iv) is strictly speaking not needed since the rule (iii) covers it. Concerning the rule (i), notice that also atoms of the type S(x, ..., x)k , where k 6= 1, are legitimate formulae. Let UF1 denote the set UF1 (T ). 3.1 Intuitions underlying the decidability proof We show decidabilit ...
Sample pages 2 PDF
Sample pages 2 PDF

On the Relation between Polynomial Identity Testing and Finding
On the Relation between Polynomial Identity Testing and Finding

Propositional Logic
Propositional Logic

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PDF

Hilbert`s Tenth Problem over rings of number
Hilbert`s Tenth Problem over rings of number

YABLO WITHOUT GODEL
YABLO WITHOUT GODEL

A Logic of Object-Oriented Programs
A Logic of Object-Oriented Programs

Chapter 5 Predicate Logic
Chapter 5 Predicate Logic

... We can use this latter interpretation of H to treat another predicate logic formula: (∀x)H(x, x). Here there is still only one quantifier and no connectives, but there is more than one quantified variable. The interpretation is that both arguments must be the same. This expression is true if H can p ...
Lecture - 04 (Logic Knowledge Base)
Lecture - 04 (Logic Knowledge Base)

... called premises and another proposition called the conclusion. • Proof is intended to show deductively that an argument is sound (or valid). – An argument is sound iff it cannot be the case that its premises are true and its conclusion is false. ...
Q 0 - SSDI
Q 0 - SSDI

Rules of inference
Rules of inference

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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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