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  2. Universal instantiation - Wikipedia

    en.wikipedia.org/wiki/Universal_instantiation

    In predicate logic, universal instantiation [1] [2] [3] (UI; also called universal specification or universal elimination, [citation needed] and sometimes confused with dictum de omni) [citation needed] is a valid rule of inference from a truth about each member of a class of individuals to the truth about a particular individual of that class.

  3. List of rules of inference - Wikipedia

    en.wikipedia.org/wiki/List_of_rules_of_inference

    Therefore (Mathematical symbol for "therefore" is ), if it rains today, we will go on a canoe trip tomorrow". To make use of the rules of inference in the above table we let p {\displaystyle p} be the proposition "If it rains today", q {\displaystyle q} be "We will not go on a canoe today" and let r {\displaystyle r} be "We will go on a canoe ...

  4. Instantiation - Wikipedia

    en.wikipedia.org/wiki/Instantiation

    The instantiation principle, the idea that in order for a property to exist, it must be had by some object or substance; the instance being a specific object rather than the idea of it; Universal instantiation; An instance (predicate logic), a statement produced by applying universal instantiation to a universal statement

  5. Symbolic language (programming) - Wikipedia

    en.wikipedia.org/.../Symbolic_language_(programming)

    In computer science, a symbolic language is a language that uses characters or symbols to represent concepts, such as mathematical operations and the entities (or operands) on which these operations are performed. [1] Modern programming languages use symbols to represent concepts and/or data and are, therefore, examples of symbolic languages. [1]

  6. Python (programming language) - Wikipedia

    en.wikipedia.org/wiki/Python_(programming_language)

    Python 3.0, released in 2008, was a major revision not completely backward-compatible with earlier versions. Python 2.7.18, released in 2020, was the last release of Python 2. [37] Python consistently ranks as one of the most popular programming languages, and has gained widespread use in the machine learning community. [38] [39] [40] [41]

  7. Negation as failure - Wikipedia

    en.wikipedia.org/wiki/Negation_as_failure

    Negation As Failure (NAF, for short) is a non-monotonic inference rule in logic programming, used to derive (i.e. that is assumed not to hold) from failure to derive . Note that n o t p {\displaystyle \mathrm {not} ~p} can be different from the statement ¬ p {\displaystyle \neg p} of the logical negation of p {\displaystyle p} , depending on ...

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  9. Universal quantification - Wikipedia

    en.wikipedia.org/wiki/Universal_quantification

    In symbolic logic, the universal quantifier symbol (a turned "A" in a sans-serif font, Unicode U+2200) is used to indicate universal quantification. It was first used in this way by Gerhard Gentzen in 1935, by analogy with Giuseppe Peano's (turned E) notation for existential quantification and the later use of Peano's notation by Bertrand Russell.