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first-order logic

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(language, logic)first-order logic - The language describing the truth of mathematical formulas. Formulas describe properties of terms and have a truth value. The following are atomic formulas:

True False p(t1,..tn) where t1,..,tn are terms and p is a predicate.

If F1, F2 and F3 are formulas and v is a variable then the following are compound formulas:

F1 ^ F2 conjunction - true if both F1 and F2 are true,

F1 V F2 disjunction - true if either or both are true,

F1 => F2 implication - true if F1 is false or F2 is true, F1 is the antecedent, F2 is the consequent (sometimes written with a thin arrow),

F1 <= F2 true if F1 is true or F2 is false,

F1 == F2 true if F1 and F2 are both true or both false (normally written with a three line equivalence symbol)

~F1 negation - true if f1 is false (normally written as a dash '-' with a shorter vertical line hanging from its right hand end).

For all v . F universal quantification - true if F is true for all values of v (normally written with an inverted A).

Exists v . F existential quantification - true if there exists some value of v for which F is true. (Normally written with a reversed E).

The operators ^ V => <= == ~ are called connectives. "For all" and "Exists" are quantifiers whose scope is F. A term is a mathematical expression involving numbers, operators, functions and variables.

The "order" of a logic specifies what entities "For all" and "Exists" may quantify over. First-order logic can only quantify over sets of atomic propositions. (E.g. For all p . p => p). Second-order logic can quantify over functions on propositions, and higher-order logic can quantify over any type of entity. The sets over which quantifiers operate are usually implicit but can be deduced from well-formedness constraints.

In first-order logic quantifiers always range over ALL the elements of the domain of discourse. By contrast, second-order logic allows one to quantify over subsets.

["The Realm of First-Order Logic", Jon Barwise, Handbook of Mathematical Logic (Barwise, ed., North Holland, NYC, 1977)].


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He begins with puzzles involving liars and truth-tellers, moves into the subject of propositional logic, which formalizes the reasoning of the liar/truth-teller puzzles, and then presents materials of first-order logic, while including discussion of infinity and formal axiomatics.
Fine begins by analyzing coordination amongst variables as he describes approaches ranging from the Tarskian to the instantial, algebraic, and relational, proposing a relational semantics for first-order logic.
50 Hardcover BC128 Jeffrey (1926-2002), a philosophy professor at Princeton, offers an introduction to formal logic for beginners, intended to familiarize them with a formal system of first-order logic and the scope and limits of formal methods.
 
 
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