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Extending modal logic
Extending modal logic

pdf
pdf

... MP. From ϕ and ϕ ⇒ ψ infer ψ (Modus Ponens) RN. From ϕ infer Kϕ (Knowledge Generalization) The standard modal logics are characterized by some subset of the axioms above. All are taken to include Prop, MP, and RN; they are then named by the other axioms. For example, K5 consists of all the formulas ...
Proof theory of witnessed G¨odel logic: a
Proof theory of witnessed G¨odel logic: a

What is "formal logic"?
What is "formal logic"?

T - STI Innsbruck
T - STI Innsbruck

... • Given the truth values of all symbols in a sentence, it can be “evaluated” to determine its truth value (True or False) • A model for a KB is a “possible world” (assignment of truth values to propositional symbols) in which each sentence in the KB is True • A valid sentence or tautology is a sente ...
02_Artificial_Intelligence-PropositionalLogic
02_Artificial_Intelligence-PropositionalLogic

... • Given the truth values of all symbols in a sentence, it can be “evaluated” to determine its truth value (True or False) • A model for a KB is a “possible world” (assignment of truth values to propositional symbols) in which each sentence in the KB is True • A valid sentence or tautology is a sente ...
Predicate Logic for Software Engineering
Predicate Logic for Software Engineering

F - Teaching-WIKI
F - Teaching-WIKI

... • Given the truth values of all symbols in a sentence, it can be “evaluated” to determine its truth value (True or False) • A model for a KB is a “possible world” (assignment of truth values to propositional symbols) in which each sentence in the KB is True • A valid sentence or tautology is a sente ...
T - STI Innsbruck
T - STI Innsbruck

... • Given the truth values of all symbols in a sentence, it can be “evaluated” to determine its truth value (True or False) • A model for a KB is a “possible world” (assignment of truth values to propositional symbols) in which each sentence in the KB is True • A valid sentence or tautology is a sente ...
F - Teaching-WIKI
F - Teaching-WIKI

Least and greatest fixed points in linear logic
Least and greatest fixed points in linear logic

Unary negation: ϕ1 ¬ϕ1 T F F T
Unary negation: ϕ1 ¬ϕ1 T F F T

... So–why do logic textbooks stick with just the few common ones??? ...
Propositional Logic Syntax of Propositional Logic
Propositional Logic Syntax of Propositional Logic

... • relations can be defined by the designer or user – neighbor, successor, next to, taller than, younger than, … ...
Judgment and consequence relations
Judgment and consequence relations

Aristotle`s work on logic.
Aristotle`s work on logic.

... The first letter indicates to which one of the four perfect moods the mood is to be reduced: ‘B’ to Barbara, ‘C’ to Celarent, ‘D’ to Darii, and ‘F’ to Ferio. The letter ‘s’ after the ith vowel indicates that the corresponding proposition has to be simply converted, i.e., a use of si . The letter ‘p’ ...
• Propositional definite clauses ctd • Monotone functions and power
• Propositional definite clauses ctd • Monotone functions and power

Logic Handout - EECS: www
Logic Handout - EECS: www

... We discussed how to convert among these three representations, as represented by the arcs in the diagram. Here is a summary: Truth-table to Boolean Expression. Write the canonical form and follow with algebraic simplification if desired. Boolean Expression to Truth-table. Evaluate expression for all ...
Propositional Calculus
Propositional Calculus

... Logic helps to clarify the meanings of descriptions written, for example, in English. After all, one reason for our use of logic is to state precisely the requirements of computer systems. Descriptions in natural languages can be imprecise and ambiguous. An ambiguous sentence can have more than one ...
(2005). Integrating Language and Cognition
(2005). Integrating Language and Cognition

... – Initial models are fuzzy blobs – linguistic models have empty “slots” for cognitive model (objects and situations) and v.v. – language participates in cognition and v.v. ...
A Proof of Nominalism. An Exercise in Successful
A Proof of Nominalism. An Exercise in Successful

... formula, i.e. by what is known as a  11 sentence. They turn out to have IF first-order equivalents, as will be seen later in this paper. Our new basic logic, the EIF first-order logic, is in many ways a highly interesting structure. It does not rely on the law of excluded middle and hence can be co ...
Structural Multi-type Sequent Calculus for Inquisitive Logic
Structural Multi-type Sequent Calculus for Inquisitive Logic

... the calculus for inquisitive logic in the style of a generalization of Belnap’s display calculi, the so-called multi-type calculi. These calculi have been introduced in [8, 7], as a proposal to support a proof-theoretic semantic account of Dynamic Logics [10]. One important aspect of multi-type calc ...
Intelligent Systems
Intelligent Systems

... identifying incorrect, incomplete or inconsistent knowledge difficult. • Expert systems, especially the first generation, have little or no ability to learn from their experience. Dr. Kovács Szilveszter © ...
How to tell the truth without knowing what you are talking about
How to tell the truth without knowing what you are talking about

... must be devised, together with inference rules for manipulating symbols to discover new truths or to verify whether a conclusion can be derived from the premises. Today logic is considered a branch of mathematics and this mathematical entry into logic dates to the notable precursory works of Leibniz ...
Logic - Disclaimer
Logic - Disclaimer

Artificial Intelligence
Artificial Intelligence

...  Study the “Artificial Intelligence” article from the Wikipedia. Don’t read ch.1  You will answer one of the following questions.  This will be a quiz! ...
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Fuzzy logic



Fuzzy logic is a form of many-valued logic in which the truth values of variables may be any real number between 0 and 1. By contrast, in Boolean logic, the truth values of variables may only be 0 or 1. Fuzzy logic has been extended to handle the concept of partial truth, where the truth value may range between completely true and completely false. Furthermore, when linguistic variables are used, these degrees may be managed by specific functions.The term fuzzy logic was introduced with the 1965 proposal of fuzzy set theory by Lotfi A. Zadeh. Fuzzy logic has been applied to many fields, from control theory to artificial intelligence. Fuzzy logic had however been studied since the 1920s, as infinite-valued logic—notably by Łukasiewicz and Tarski.
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