Skolemization in Artificial Intelligence is a procedure used when there is a requirement of the reduction of any first-order formula to its Skolem normal form. This is usually done when there is a need for proving a theorem by using programming. The main objective here is to ensure that the resultant form will not have any quantifiers. All of the quantifiers are flagged and are replaced with entities called Skolem functions. Not every transformation needs to be done when working with Skolemization, only the necessary ones wherein the scope of which will affect the solution. The first-order resolution provided by Skolemization is highly effective in devising AI models that can operate more efficiently.
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