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The Relational Resolution Principle is analogous to that of propositional resolution. The main difference is the use of unification to unify literals before applying the rule.
The resolution rule in propositional logic is a single valid inference rule that produces a new clause implied by two clauses containing complementary literals. A literal is a propositional variable or the negation of a propositional variable.
we express our hypotheses and conclusion as a product of sums (conjunctive normal form), such as those that appear in the Resolution Tautology. Each max term in the CNF of the hypothesis becomes a clause in the proof.
Resolution Principle. The resolution principle, due to Robinson (1965), is a method of theorem proving that proceeds by constructing refutation proofs, i.e., proofs by contradiction. This method has been exploited in many automatic theorem proves.
OLD resolution (Selective Linear Definite clause resolution) is the basic inference rule used in logic programming. It is a refinement of resolution, which is both sound and refutation complete for Horn clauses.
Resolution is a theorem proving technique that proceeds by building refutation proofs, i.e., proofs by contradictions. It was invented by a Mathematician John Alan Robinson in the year 1965. Resolution is a single inference rule which can efficiently operate on the conjunctive normal form or clausal form.
In mathematical logic and automated theorem proving, resolution is a rule of inference leading to a refutation theorem-proving technique for sentences in propositional logic and first-order logic. The clause produced by a resolution rule is sometimes called a resolvent.
Data unification involves merging data from multiple sources and making them useful for developing business strategy. Doing so requires a process of collecting, cleaning, reduplicating and exporting millions of data points from multiple sources. It's a task that requires human programmers and machine learning.
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