Pac-Learning Recursive Logic Programs: Efficient Algorithms

  • Cohen W
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Abstract

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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Cohen, W. W. (1995). Pac-Learning Recursive Logic Programs: Efficient Algorithms. Journal of Artificial Intelligence Research, 2, 501–539. https://doi.org/10.1613/jair.97

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