In this paper we present a systen able to learn logic programs by adopting an intesional evaluation of clauses. The induction procedure, called TRACY, works as follows. clauses from the hypothesis space are asserted in the knowledge base, and a derivation of each of the positive examples is attempted, while maintaining a trace of which clauses were used. When such a trace is found to cover a negative example, we backtrack to an alternative derivation. Finally, all traced clauses are put together to form the solution program.The method is proved to be correct and sufficient. The evaluation of the complexity of the approach is provided.

Learning clauses by tracing derivations.

BERGADANO, Francesco;GUNETTI, Daniele
1994-01-01

Abstract

In this paper we present a systen able to learn logic programs by adopting an intesional evaluation of clauses. The induction procedure, called TRACY, works as follows. clauses from the hypothesis space are asserted in the knowledge base, and a derivation of each of the positive examples is attempted, while maintaining a trace of which clauses were used. When such a trace is found to cover a negative example, we backtrack to an alternative derivation. Finally, all traced clauses are put together to form the solution program.The method is proved to be correct and sufficient. The evaluation of the complexity of the approach is provided.
1994
Fourth International Workshop on Inductive Logic Programming
Bad Honnef, Germany
12-14 settembre 1994
Proceedings of the Fourth International Workshop on Inductive Logic Programming
Wrobel S.
11
30
3884572377
Artificial Intelligence; Machine Learning; Inductive Logic Programming
Bergadano F.; Gunetti D.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/122312
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