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A BRIEF INTRODUCTION TO MODAL LOGIC Introduction Consider
A BRIEF INTRODUCTION TO MODAL LOGIC Introduction Consider

Text
Text

CHAPTER 1 The main subject of Mathematical Logic is
CHAPTER 1 The main subject of Mathematical Logic is

... In a given context we shall adopt the following convention. Once a formula has been introduced as A(x), i.e., A with a designated variable x, we write A(r) for A[x := r], and similarly with more variables. 1.1.3. Subformulas. Unless stated otherwise, the notion of subformula will be that defined by ...
Hardness of Learning Problems over Burnside Groups of Exponent 3
Hardness of Learning Problems over Burnside Groups of Exponent 3

Lecture Notes
Lecture Notes

Query Answering for OWL-DL with Rules
Query Answering for OWL-DL with Rules

... only provides insight into the causes for the undecidability of the full combination, but also enables a more detailed complexity analysis and, ultimately, the design of “specialized” decision procedures. Applications that do not require the expressive power of the full combination can use such proc ...
Introduction to Predicate Logic
Introduction to Predicate Logic

Truth-Functional Propositional Logic
Truth-Functional Propositional Logic

... why the rules work or not. The uniformity, simplicity, and regularity of these arithmetical rules, and their applicability with minimal understanding, is shown by the existence of extremely simple artificial devices for effective arithmetical calculation such as the ancient abacus. Before any system ...
24.241 Logic I Problem set 04 solutions
24.241 Logic I Problem set 04 solutions

Document
Document

... • P(x) is true for every x in the universe of discourse. • Notation: universal quantifier ∀xP(x) • ‘For all x, P(x)’, ‘For every x, P(x)’ • The variable x is bound by the universal quantifier producing a proposition. • An element for which P(x) is false is called a counterexample of ∀xP(x). • Exampl ...
Chapter 2 Propositional Logic
Chapter 2 Propositional Logic

A B ECD
A B ECD

Chapter 3 Boolean Algebra and Logic Gates
Chapter 3 Boolean Algebra and Logic Gates

A Case of Depth-3 Identity Testing, Sparse Factorization and Duality
A Case of Depth-3 Identity Testing, Sparse Factorization and Duality

Types, Operators and Expressions
Types, Operators and Expressions

Lecture 1: Elements of Mathematical Logic
Lecture 1: Elements of Mathematical Logic

The semantics of propositional logic
The semantics of propositional logic

BOOLEAN ALGEBRA Boolean algebra, or the algebra of logic, was
BOOLEAN ALGEBRA Boolean algebra, or the algebra of logic, was

Discrete Mathematics
Discrete Mathematics

Classical First-Order Logic Introduction
Classical First-Order Logic Introduction

... First-order logic (FOL) is a richer language than propositional logic. Its lexicon contains not only the symbols ∧, ∨, ¬, and → (and parentheses) from propositional logic, but also the symbols ∃ and ∀ for “there exists” and “for all”, along with various symbols to represent variables, constants, fun ...
Logic for Computer Science. Lecture Notes
Logic for Computer Science. Lecture Notes

CM121A, Introduction to Abstract Algebra, Sample Clas Test 2
CM121A, Introduction to Abstract Algebra, Sample Clas Test 2

Encoding Knowledge with Predicate Logic
Encoding Knowledge with Predicate Logic

A Proof Theory for Generic Judgments: An extended abstract
A Proof Theory for Generic Judgments: An extended abstract

... say t is a Σ-term (of type γ), and, if γ is o, t is a Σ-formula. In the displayed sequent above, n ≥ 0 and B0 , B1 , . . . , Bn are Σ-formulas. Informally, the “extensional” reading of this sequent would be that for every substitution θ that maps a variable x : γ ∈ Σ to a term of type γ, if Bi θ hol ...
predicate
predicate

... program exists which, given any , can determine in a finite amount of time if ⊨  • Proof reduce to Post Correspondence problem. I.E. show that if the decision problem is solvable, we could solve the Post Correspondence problem. This is a contradiction. ...
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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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