Pac-Learning Recursive Logic Programs: Efficient Algorithms

We present algorithms that learn certain classes of function-free recursive logic programs in polynomial time from equivalence queries. In particular, we show that a single k-ary recursive constant-depth determinate clause is learnable. Two-clause programs consisting of one learnable recursive claus...

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Vydané v:The Journal of artificial intelligence research Ročník 2; s. 501 - 539
Hlavný autor: Cohen, W. W.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: San Francisco AI Access Foundation 01.01.1994
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ISSN:1076-9757, 1076-9757, 1943-5037
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Shrnutí:We present algorithms that learn certain classes of function-free recursive logic programs in polynomial time from equivalence queries. In particular, we show that a single k-ary recursive constant-depth determinate clause is learnable. Two-clause programs consisting of one learnable recursive clause and one constant-depth determinate non-recursive clause are also learnable, if an additional ``basecase'' oracle is assumed. These results immediately imply the pac-learnability of these classes. Although these classes of learnable recursive programs are very constrained, it is shown in a companion paper that they are maximally general, in that generalizing either class in any natural way leads to a computationally difficult learning problem. Thus, taken together with its companion paper, this paper establishes a boundary of efficient learnability for recursive logic programs.
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content type line 14
ISSN:1076-9757
1076-9757
1943-5037
DOI:10.1613/jair.97