Примери коришћења Literals на Енглеском и њихови преводи на Српски
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Colloquial
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Computer
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The label literals are used to actually perform search for a solution.
The current domain of a variable can be inspected using specific literals;
Literals can be divided into two types: A positive literal is just an atom.
Where the Bi are arbitrary literals(defined or abducible, and atomic or negated).
For every constant leaf node(RHS of an operation- literals, values), assign a 0.
Pure literals can always be assigned in a way that makes all clauses containing them true.
A second reformulation that can increase efficiency is to place constraints before literals in the body of clauses.
Delete all negated literals containing variables that don't occur in a positive literal: .
In this clause, X+Y>0 is a constraint;A(X, Y), B(X), and C(Y)are literals as in regular logic programming.
Literals for floating point numbers include a decimal point, and typically use e or E to denote scientific notation.
The conversion function string to a number ToNumber(string) added support for specifying binary literals(0b) and octal(0o) data;
This is because labeling literals enforce search, and search is more efficient if there are more constraints to be satisfied.
It extends Horn clauses by allowing some predicates, declared as constraint predicates,to occur as literals in the body of clauses.
The current goal contains the literals the interpreter is trying to prove and may also contain some constraints it is trying to satisfy;
As in regular logic programming,programs are queried about the provability of a goal, which may contain constraints in addition to literals.
A proof for a goal is composed of clauses whose bodies are satisfiable constraints and literals that can in turn be proved using other clauses.
This semantics formalizes the possible evolutions of an interpreter that arbitrarily chooses the literal of the goal to process and the clause to replace literals.
A first rule is that labeling literals should be placed after as much constraints on the labeled literals are accumulated in the constraint store.
A prime implicant of a function is an implicant that cannot be covered by a more general,(more reduced- meaning with fewer literals) implicant.
Literals for characters and strings are usually surrounded by quotation marks: sometimes, single quotes(') are used for characters and double quotes(") are used for strings.
The positive and negative examples are given as a conjunction E+{\displaystyle E^{+}} and E-{\displaystyle E^{-}} of unnegated andnegated ground literals, respectively.
Array and object literals Like many scripting languages, arrays and objects(associative arrays in other languages) can each be created with a succinct shortcut syntax.
The simplification step essentially removes all clauses that become true under the assignment from the formula, and all literals that become false from the remaining clauses.
Where H is an atomic formula that is not abducible,all the Bi are literals whose predicates are not abducible, and the Ai are atomic formulas whose predicates are abducible.
Formally, constraint logic programs are like regular logic programs, but the body of clauses can contain constraints,in addition to the regular logic programming literals.
For the purposes of these tables, a, b, andc represent valid values(literals, values from variables, or return value), object names, or lvalues, as appropriate.
The current goal contains the literals the interpreter is trying to prove and may also contain some constraints it is trying to satisfy; the constraint store contains all constraints the interpreter has assumed satisfiable so far.
In other words, a goal is proved under this semantics if there exists a sequence of choices of literals and clauses, among the possibly many ones, that lead to an empty goal and satisfiable store.
A goal G can be proved if there exists a derivation from⟨ G,∅⟩{\displaystyle\langle G,\emptyset\rangle} to⟨∅, S⟩{\displaystyle\langle\emptyset,S\rangle} for some satisfiable constraint store S. This semantics formalizes the possible evolutions of an interpreter that arbitrarily chooses the literal of the goal to process and the clause to replace literals.
Typically, constraint logic programs are written in such a way labeling literals are evaluated only after as many constraints as possible have been accumulated in the constraint store.