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  2. Three-valued logic - Wikipedia

    en.wikipedia.org/wiki/Three-valued_logic

    For example, because true OR true equals true, and true OR false also equals true, then true OR unknown equals true as well. In this example, because either bivalent state could be underlying the unknown state, and either state also yields the same result, true results in all three cases.

  3. Truth table - Wikipedia

    en.wikipedia.org/wiki/Truth_table

    Logical equality (also known as biconditional or exclusive nor) is an operation on two logical values, typically the values of two propositions, that produces a value of true if both operands are false or both operands are true. The truth table for p XNOR q (also written as p ↔ q, Epq, p = q, or p ≡ q) is as follows:

  4. The Hardest Logic Puzzle Ever - Wikipedia

    en.wikipedia.org/wiki/The_Hardest_Logic_Puzzle_Ever

    Three gods A, B, and C are called, in no particular order, True, False, and Random. True always speaks truly, False always speaks falsely, but whether Random speaks truly or falsely is a completely random matter. Your task is to determine the identities of A, B, and C by asking three yes–no questions; each question must be put to exactly one god.

  5. Truth value - Wikipedia

    en.wikipedia.org/wiki/Truth_value

    In C, the number 0 or 0.0 is false, and all other values are treated as true. In JavaScript, the empty string (""), null, undefined, NaN, +0, −0 and false [3] are sometimes called falsy (of which the complement is truthy) to distinguish between strictly type-checked and coerced Booleans (see also: JavaScript syntax#Type conversion). [4]

  6. False positives and false negatives - Wikipedia

    en.wikipedia.org/wiki/False_positives_and_false...

    The false positive rate (FPR) is the proportion of all negatives that still yield positive test outcomes, i.e., the conditional probability of a positive test result given an event that was not present. The false positive rate is equal to the significance level. The specificity of the test is equal to 1 minus the false positive rate.

  7. Boolean data type - Wikipedia

    en.wikipedia.org/wiki/Boolean_data_type

    In Access it is known as a Yes/No data type [19] which can have two values; Yes (True) or No (False). The BIT data type in Access can also can be represented numerically; True is −1 and False is 0. [20] This differs to MS SQL Server in two ways, even though both are Microsoft products: Access represents TRUE as −1, while it is 1 in SQL Server

  8. Logical truth - Wikipedia

    en.wikipedia.org/wiki/Logical_truth

    Broadly speaking, a logical truth is a statement which is true regardless of the truth or falsity of its constituent propositions. In other words, a logical truth is a statement which is not only true, but one which is true under all interpretations of its logical components (other than its logical constants).

  9. Validity (logic) - Wikipedia

    en.wikipedia.org/wiki/Validity_(logic)

    (False) No matter how the universe might be constructed, it could never be the case that these arguments should turn out to have simultaneously true premises but a false conclusion. The above arguments may be contrasted with the following invalid one: All men are immortal. (False) Socrates is a man. (True) Therefore, Socrates is mortal. (True)