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On the Completion of the Most Specific Hypothesis Computation in Inverse Entailment for Mutual Recursion

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Discovey Science (DS 1998)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1532))

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Abstract

In this paper, we introduce a complete algorithm for computing the most specific hypothesis (MSH) in Inverse Entailment when the background knowledge is a set of definite clauses and the positive example is a ground atom having the same predicate symbol as that of the target predicate to be learned

Muggleton showed that for any first order theory (background knowledge) B and a single clause (a positive example) E, the MSH can be computed by first computing all ground (positive and negative) literals which logically follow from B∧¬E and negating their conjunction. However, Yamamoto gave a counter example and indicated that Muggleton’s proof contains error. Furukawa gave a sufficient condition to guarantee the above algorithm to compute the MSH. Yamamoto defined a class of problems where the algorithm computes the MSH. In this paper, we extend the MSH computation algorithm to ensure that it computes the MSH correctly under the condition described above

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References

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© 1998 Springer-Verlag Berlin Heidelberg

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Furukawa, K. (1998). On the Completion of the Most Specific Hypothesis Computation in Inverse Entailment for Mutual Recursion. In: Arikawa, S., Motoda, H. (eds) Discovey Science. DS 1998. Lecture Notes in Computer Science(), vol 1532. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-49292-5_28

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  • DOI: https://doi.org/10.1007/3-540-49292-5_28

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65390-5

  • Online ISBN: 978-3-540-49292-4

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