Logic programming | Rules of inference

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 can be different from the statement of the logical negation of , depending on the completeness of the inference algorithm and thus also on the formal logic system. Negation as failure has been an important feature of logic programming since the earliest days of both Planner and Prolog. In Prolog, it is usually implemented using Prolog's extralogical constructs. More generally, this kind of negation is known as weak negation, in contrast with the strong (i.e. explicit, provable) negation. (Wikipedia).

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đŸ‘‰Learn how to solve a system (of equations) by elimination. A system of equations is a set of equations which are collectively satisfied by one solution of the variables. The elimination method of solving a system of equations involves making the coefficient of one of the variables to be e

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From playlist Solve a System of Equations Using Elimination | Medium

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From playlist Solve a System of Equations Using Elimination | Hard

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From playlist Logic

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Solve a System of Equations Using Elimination

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From playlist Solve a System of Equations Using Elimination | Hard

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From playlist Solve a System of Equations Using Elimination | Medium

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How to Solve a System of Equation Using Elimination

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From playlist Solve a System of Equations Using Elimination | Hard

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From playlist Solve a System of Equations Using Elimination | Hard

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The complement vs. the negative -- Proofs

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Related pages

Non-monotonic logic | Complete theory | Prolog | Stable model semantics | Negation | Answer set programming | Circumscription (logic) | Autoepistemic logic | Planner (programming language) | Atomic formula | Logic programming