• Study Resource
  • Explore
    • Arts & Humanities
    • Business
    • Engineering & Technology
    • Foreign Language
    • History
    • Math
    • Science
    • Social Science

    Top subcategories

    • Advanced Math
    • Algebra
    • Basic Math
    • Calculus
    • Geometry
    • Linear Algebra
    • Pre-Algebra
    • Pre-Calculus
    • Statistics And Probability
    • Trigonometry
    • other →

    Top subcategories

    • Astronomy
    • Astrophysics
    • Biology
    • Chemistry
    • Earth Science
    • Environmental Science
    • Health Science
    • Physics
    • other →

    Top subcategories

    • Anthropology
    • Law
    • Political Science
    • Psychology
    • Sociology
    • other →

    Top subcategories

    • Accounting
    • Economics
    • Finance
    • Management
    • other →

    Top subcategories

    • Aerospace Engineering
    • Bioengineering
    • Chemical Engineering
    • Civil Engineering
    • Computer Science
    • Electrical Engineering
    • Industrial Engineering
    • Mechanical Engineering
    • Web Design
    • other →

    Top subcategories

    • Architecture
    • Communications
    • English
    • Gender Studies
    • Music
    • Performing Arts
    • Philosophy
    • Religious Studies
    • Writing
    • other →

    Top subcategories

    • Ancient History
    • European History
    • US History
    • World History
    • other →

    Top subcategories

    • Croatian
    • Czech
    • Finnish
    • Greek
    • Hindi
    • Japanese
    • Korean
    • Persian
    • Swedish
    • Turkish
    • other →
 
Profile Documents Logout
Upload
The Foundations: Logic and Proofs
The Foundations: Logic and Proofs

Reasoning About Recursively Defined Data
Reasoning About Recursively Defined Data

Lecture 10: A Digression on Absoluteness
Lecture 10: A Digression on Absoluteness

... Theorem 8.4. If A is an infinite structure with arbitrarily long finite chains, then there exists a non-well-founded structure B such that B ≡ A. To prove this theorem, we first need a few more tools. Theorem 8.5 (Compactness of first-order logic (Gödel)). For any set of first-order sentences T , i ...
1. Kripke`s semantics for modal logic
1. Kripke`s semantics for modal logic

PROVING UNPROVABILITY IN SOME NORMAL MODAL LOGIC
PROVING UNPROVABILITY IN SOME NORMAL MODAL LOGIC

L11
L11

... It is minimal in structure but as powerful as the truth table and natural deduction approaches. − The proofs of the theorems are often difficult and require a guess in selection of appropriate axiom(s) and rules. − These methods basically require forward chaining strategy where we start with the giv ...
Logic and Proof - Collaboratory for Advanced Computing and
Logic and Proof - Collaboratory for Advanced Computing and

... Methods of Proving Theorems Proving implications p → q: Direct proof: Assume p is T, and use rules of inference to prove that q is T Indirect proof: Prove its contrapositive; assume ¬q, and prove ¬p Proof by cases: Prove (p1 ∨ p2) → q by proving (p1 → q) and (p1 → q) • Based on [(p1 ∨ p2) → q ...
x - Agus Aan
x - Agus Aan

Mathematical Logic Deciding logical consequence Complexity of
Mathematical Logic Deciding logical consequence Complexity of

... syntax: a precisely defined symbolic language with procedures for transforming symbolic statements into other statements, based solely on their form. No intuition or interpretation is needed, merely applications of agreed upon rules to a set of agreed upon ...
1 - shilepsky.net
1 - shilepsky.net

(formal) logic? - Departamento de Informática
(formal) logic? - Departamento de Informática

... intuitionistic logic, but the task is very difficult, so mathematicians use methods of classical logic (as proofs by contradiction). However the philosophy behind intuitionistic logic is appealing for a computer scientist. For an intuitionist, a mathematical object (such as the solution of an equation ...
Aristotle`s square of opposition in the light of Hilbert`s epsilon and
Aristotle`s square of opposition in the light of Hilbert`s epsilon and

PPT - Department of information engineering and computer science
PPT - Department of information engineering and computer science

... L has clear formation rules for formulas. ...
HW-04 due 02/10
HW-04 due 02/10

Answers - stevewatson.info
Answers - stevewatson.info

... [only if:] Suppose  full and    then    by fullness so   but then  yet  so is inconsistent. [if:] Suppose is inconsistent for all sentences in the language of where    Now suppose is not full, so that for some sentence ,   and  ...
Löwenheim-Skolem theorems and Choice principles
Löwenheim-Skolem theorems and Choice principles

Logic primer
Logic primer

Compactness Theorem for First-Order Logic
Compactness Theorem for First-Order Logic

... - Use the compactness theorem to prove that every first-order theory that has arbitrarily large finite models, has an infinite model. • Let T = (L, G) ...
logical system
logical system

... Which one of the following statements is logically equivalent to the following statement: “If you are not part of the solution, then you are part of the problem.” If you are part of the solution, then you are not part of the problem. If you are not part of the problem, then you are part of the solut ...
A Note on Naive Set Theory in LP
A Note on Naive Set Theory in LP

... natural paraconsistent expansion of classical predicate logic. It leaves all things in predicate logic as they are, except to allow that sentences could be both true and false. In particular, in any consistent fragment of its domain, LP acts identically to the classical predicate calculus. The resul ...
(draft)
(draft)

logical system
logical system

... Which one of the following statements is logically equivalent to the following statement: “If you are not part of the solution, then you are part of the problem.” If you are part of the solution, then you are not part of the problem. If you are not part of the problem, then you are part of the solut ...
Exam 2 study guide
Exam 2 study guide

Chapter 1 Section 2
Chapter 1 Section 2

... a computer science major or you are not a freshman.” One Solution: Let a, c, and f represent respectively “You can access the internet from campus,” “You are a computer science major,” and “You are a freshman.” a→ (c ∨ ¬ f ) ...
Stephen Cook and Phuong Nguyen. Logical foundations of proof
Stephen Cook and Phuong Nguyen. Logical foundations of proof

... were inspired by concepts from classical computability theory, but also that some of the most influential results in the area have a deep logical meaning. For example, one of the important early results in the area, the Cook–Levin Theorem, states that the satisfiability problem for propositional log ...
< 1 ... 31 32 33 34 35 36 37 >

Interpretation (logic)

An interpretation is an assignment of meaning to the symbols of a formal language. Many formal languages used in mathematics, logic, and theoretical computer science are defined in solely syntactic terms, and as such do not have any meaning until they are given some interpretation. The general study of interpretations of formal languages is called formal semantics.The most commonly studied formal logics are propositional logic, predicate logic and their modal analogs, and for these there are standard ways of presenting an interpretation. In these contexts an interpretation is a function that provides the extension of symbols and strings of symbols of an object language. For example, an interpretation function could take the predicate T (for ""tall"") and assign it the extension {a} (for ""Abraham Lincoln""). Note that all our interpretation does is assign the extension {a} to the non-logical constant T, and does not make a claim about whether T is to stand for tall and 'a' for Abraham Lincoln. Nor does logical interpretation have anything to say about logical connectives like 'and', 'or' and 'not'. Though we may take these symbols to stand for certain things or concepts, this is not determined by the interpretation function.An interpretation often (but not always) provides a way to determine the truth values of sentences in a language. If a given interpretation assigns the value True to a sentence or theory, the interpretation is called a model of that sentence or theory.
  • studyres.com © 2025
  • DMCA
  • Privacy
  • Terms
  • Report