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18

COCOON
1995
Springer

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Constructing Craig Interpolation Formulas

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Constructing Craig Interpolation Formulas

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A Craig interpolant of two inconsistent theories is a formula which is true in one and false in the other. This paper gives an eificient method for constructing a Craig interpolant from a refutation proof which involves binary resolution, paramodulation, and factoring. This method can solve the machine learning problem of discovering a first order concept from given examples. It can also be used to find sentences which distinguish pairs of nonisomorphic finite structures.

Guoxiang Huang

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COCOON 1995 | Combinatorics | Craig Interpolant | Inconsistent Theories | Machine Learning Problem |

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Added	25 Aug 2010
Updated	25 Aug 2010
Type	Conference
Year	1995
Where	COCOON
Authors	Guoxiang Huang

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