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Dowty - Princeton University
Dowty - Princeton University

Master Thesis - Yoichi Hirai
Master Thesis - Yoichi Hirai

A Deterministic Parser With Broad Coverage
A Deterministic Parser With Broad Coverage

Taming method in modal logic and mosaic method in temporal logic
Taming method in modal logic and mosaic method in temporal logic

this PDF file
this PDF file

Digital Logic and the Control Unit
Digital Logic and the Control Unit

Complexity of Recursive Normal Default Logic 1. Introduction
Complexity of Recursive Normal Default Logic 1. Introduction

... Got92, Van89]. In case of formalisms admitting variables and, more generally, infinite recursive propositional nonmonotonic formalisms, a number of results has been found. These include basic complexity results for Horn logic [Smu68, AN78], the complexity of the perfect model semantics of stratified ...
FC §1.1, §1.2 - Mypage at Indiana University
FC §1.1, §1.2 - Mypage at Indiana University

... takes propositions as basic and considers how they can be combined and manipulated. This branch of logic has surprising application to the design of the electronic circuits that make up computers. Logic gets more interesting when we consider the internal structure of propositions. In English, a prop ...
From Syllogism to Common Sense Normal Modal Logic
From Syllogism to Common Sense Normal Modal Logic

... ‣ These systems are however mutually incompatible, and no base logic was given of which the other logics are extensions of. ‣ The modal logic K is such a base logic, named after SAUL KRIPKE, and which serves as a minimal logic for the class of all its (normal) extensions - defined next via a Hilbert ...
The Logic of Provability
The Logic of Provability

... Classical first-order arithmetic with induction; also called arithmetic or PA. More formally, we take the signature of PA to have ‘0’ as a constant and ‘+’, ‘·’, and ‘<’ as binary function symbols; PA is then the theory axiomatized by the following: • ∀x(sx 6= 0) • ∀x, y(sx = sy → x = y) • For every ...
neighborhood semantics for basic and intuitionistic logic
neighborhood semantics for basic and intuitionistic logic

... Definition 3.3 (Neighborhood models). A neighborhood model of IPL is a tuple hW, N, V i, where hW, N i is a neighborhood frame of IPL and V is a valuation function from P into 2W such that for all w ∈ W and p ∈ P we have: • if w ∈ V (p) then V (p) ∈ N (w). Definition 3.4 (Truth in neighborhood model ...
pdf - at www.arxiv.org.
pdf - at www.arxiv.org.

Variables In Real Life: A Jar Of Spare Change
Variables In Real Life: A Jar Of Spare Change

Discrete Math Section 2.2 Notes
Discrete Math Section 2.2 Notes

The First Incompleteness Theorem
The First Incompleteness Theorem

... formalized theory T , and when we are – so to speak – standing outside the theory and doing ordinary informal arithmetic or doing informal reasoning about the theory T . It’s risky just to rely on context. So to keep things clear, we adopt a now quite widely used convention: italic symbols will belo ...
A Proof Theory for Generic Judgments
A Proof Theory for Generic Judgments

... assumption (that is, on the left of the sequent arrow) is essentially equated to having instead all instances Bt for terms t of type τ . There are cases (one is considered in more detail in Section 6) where we would like to make inferences from an assumption of the form ∀τ x.Bx that holds independen ...
6. Truth and Possible Worlds
6. Truth and Possible Worlds

... require everyone here to be a realist, but you should understand what the view says and see what it’s based on. Standard, classical logic assumes realism, so it makes sense to teach you about realism in this class. There are other logics that don’t assume realism, such as intuitionistic logic and pa ...
Computational properties of environment
Computational properties of environment

Proofs in Propositional Logic
Proofs in Propositional Logic

Proofs in Propositional Logic
Proofs in Propositional Logic

Kripke completeness revisited
Kripke completeness revisited

Contextual Reasoning in Concept Spaces - CEUR
Contextual Reasoning in Concept Spaces - CEUR

... Let's say that a set of background assumptions represents a body of (partial) knowledge about a given context that was established prior to the actual inference. In general we want to know whether some sequent holds for every conceivable state  in the space. Often though we already have partial inf ...
An incomplete sentence is called a sentence fragment. A fragment
An incomplete sentence is called a sentence fragment. A fragment

... - A sentence fragment is a group of words that is punctuated like a complete sentence but does not express a complete thought. It is missing a subject, predicate or both. Ex: The world's first skyscraper. Ex: Ran home from school. - A Run-on sentence is two or more sentences that have been incorrect ...
From Answer Set Logic Programming to Circumscription via Logic of
From Answer Set Logic Programming to Circumscription via Logic of

... Answer Set Programming (ASP) is a new paradigm of constraint-based programming based on logic programming with answer set semantics 17,9,13]. It started out with normal logic programs, which are programs that can have negation but not disjunction. Driven by the need of applications, various extensi ...
Philosophy of Logic and Language
Philosophy of Logic and Language

... massively overgenerates or is hopelessly circular. ...
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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.
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