Abstract
CF-induction is a sound and complete hypothesis finding procedure for full clausal logic which uses the principle of inverse entailment to compute a hypothesis that logically explains a set of examples with respect to a prior background theory. Currently, CF-induction computes hypotheses by applying combinations of several complex generalisation operators to an intermediate theory called a bridge formula. In this paper we propose an alternative approach whereby hypotheses are derived from a bridge formula using a single deductive operator and a single inductive operator. We show that our simplified procedure preserves the soundness and completeness of CF-induction.
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Badea, L.: A Refinement Operator for Theories. In: Rouveirol, C., Sebag, M. (eds.) ILP 2001. LNCS (LNAI), vol. 2157, pp. 1–14. Springer, Heidelberg (2001)
Cox, P.T., Pietrzykowski, T.: A Complete, Nonredundant Algorithm for Reversed Skolemization. Theoretical Computer Science 28(3), 239–261 (1984)
Doncescu, A., Inoue, K., Yamamoto, Y.: Knowledge Based Discovery in Systems Biology Using CF-Induction. In: Okuno, H.G., Ali, M. (eds.) IEA/AIE 2007. LNCS (LNAI), vol. 4570, pp. 395–404. Springer, Heidelberg (2007)
Inoue, K.: Linear Resolution for Consequence Finding. Artificial Intelligence 56(2-3), 301–353 (1992)
Inoue, K.: Induction as Consequence Finding. Machine Learning 55(2), 109–135 (2004)
Laird, P.D.: Learning from Good and Bad Data. Kluwer Academic Publishers, Dordrecht (1988)
Lee, C.T.: A Completeness Theorem and Computer Program for Finding Theorems Derivable from Given Axioms. PhD thesis, Dept. of Electronic Eng. and Computer Sci., Univ. of California, Berkeley, CA (1967)
Midelfart, H.: A Bounded Search Space of Clausal Theories. In: Džeroski, S., Flach, P.A. (eds.) ILP 1999. LNCS (LNAI), vol. 1634, pp. 210–221. Springer, Heidelberg (1999)
Muggleton, S.H.: Inverse Entailment and Progol. New Generation Computing 13(3-4), 245–286 (1995)
Muggleton, S.H., Buntine, W.L.: Machine Invention of First Order Predicates by Inverting Resolution. In: Proc. of the 5th Int. Conf. on Machine Learning, pp. 339–352 (1988)
Muggleton, S.H., De Raedt, L.: Inductive Logic Programming: Theory and Methods. Logic Programming 19(20), 629–679 (1994)
Nienhuys-Cheng, S., de Wolf, R.: Foundations of Inductive Logic Programming. LNCS, vol. 1228. Springer, Heidelberg (1997)
Plotkin, G.D.: A Further Note on Inductive Generalization. In: Machine Intelligence, vol. 6, pp. 101–124. Edinburgh University Press (1971)
Ray, O., Broda, K., Russo, A.M.: Hybrid Abductive Inductive Learning: a Generalisation of Progol. In: Horváth, T., Yamamoto, A. (eds.) ILP 2003. LNCS (LNAI), vol. 2835, pp. 311–328. Springer, Heidelberg (2003)
Ray, O., Inoue, K.: Mode Directed Inverse Entailment for Full Clausal Theories. In: Proc. of the 17th Int. Conf. on Inductive Logic Programming ILP 2007. LNCS, vol. 4894. Springer, Heidelberg (to appear 2008)
Satoh, K., Uno, T.: Enumerating Maximal Frequent Sets Using Irredundant Dualization. In: Grieser, G., Tanaka, Y., Yamamoto, A. (eds.) DS 2003. LNCS (LNAI), vol. 2843, pp. 256–268. Springer, Heidelberg (2003)
Yamamoto, A.: Hypothesis Finding Based on Upward Refinement of Residue Hypotheses. Theoretical Computer Science 298, 5–19 (2003)
Yamamoto, A., Fronhöfer, B.: Hypotheses Finding via Residue Hypotheses with the Resolution Principle. In: Arimura, H., Sharma, A.K., Jain, S. (eds.) ALT 2000. LNCS (LNAI), vol. 1968, pp. 156–165. Springer, Heidelberg (2000)
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Yamamoto, Y., Ray, O., Inoue, K. (2008). Towards a Logical Reconstruction of CF-Induction. In: Satoh, K., Inokuchi, A., Nagao, K., Kawamura, T. (eds) New Frontiers in Artificial Intelligence. JSAI 2007. Lecture Notes in Computer Science(), vol 4914. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78197-4_31
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DOI: https://doi.org/10.1007/978-3-540-78197-4_31
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