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Abstract

Most axioms are expressed in the form: If premise-1 and premise-2 and …then conclusion. Formally, this is:

$$A = \forall {x_1} \cdots \forall {x_k}({B_1} \wedge \cdots \wedge {B_m} \to B),$$

where B and Bi are atoms. In the degenerate case where there are no antecedents, \( A = \forall {x_1} \cdots \forall {x_k}B.\) In clausal form, an axiom is \( \neg {B_1} \vee \cdots \vee \neg {B_m} \vee B.\) To prove that a formula \( G = {G_1} \wedge \cdots \wedge {G_1}\) is a logical consequence of a set of axioms, we append \(\neg G\) to the set of axioms and try to construct a refutation by resolution. \(\neg G\) is called the goal clause.

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© 2001 Springer-Verlag London

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Ben-Ari, M. (2001). Logic Programming. In: Mathematical Logic for Computer Science. Springer, London. https://doi.org/10.1007/978-1-4471-0335-6_8

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  • DOI: https://doi.org/10.1007/978-1-4471-0335-6_8

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-85233-319-5

  • Online ISBN: 978-1-4471-0335-6

  • eBook Packages: Springer Book Archive

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