Pac-Learning Recursive Logic Programs: Efficient Algorithms

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 nonrecursive 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.

Cite

Text

Cohen. "Pac-Learning Recursive Logic Programs: Efficient Algorithms." Journal of Artificial Intelligence Research, 1995. doi:10.1613/JAIR.97

Markdown

[Cohen. "Pac-Learning Recursive Logic Programs: Efficient Algorithms." Journal of Artificial Intelligence Research, 1995.](https://mlanthology.org/jair/1995/cohen1995jair-paclearning/) doi:10.1613/JAIR.97

BibTeX

@article{cohen1995jair-paclearning,
  title     = {{Pac-Learning Recursive Logic Programs: Efficient Algorithms}},
  author    = {Cohen, William W.},
  journal   = {Journal of Artificial Intelligence Research},
  year      = {1995},
  pages     = {501-539},
  doi       = {10.1613/JAIR.97},
  volume    = {2},
  url       = {https://mlanthology.org/jair/1995/cohen1995jair-paclearning/}
}