Foundations of logic programming
Foundations of logic programming
COLT '88 Proceedings of the first annual workshop on Computational learning theory
Handbook of theoretical computer science (vol. B)
The art of Prolog (2nd ed.): advanced programming techniques
The art of Prolog (2nd ed.): advanced programming techniques
Some classes of Prolog programs inferable from positive data
Theoretical Computer Science - Special issue on algorithmic learning theory
Polynomial-time learnability of logic programs with local variables from entailment
Theoretical Computer Science - Algorithmic learning theory
Algorithmic Program DeBugging
Learning closed horn expressions
Information and Computation
Machine Learning
Machine Learning
Learning Linearly-Moded Programs from Entailment
PRICAI '98 Proceedings of the 5th Pacific Rim International Conference on Artificial Intelligence: Topics in Artificial Intelligence
Learning Acyclic First-Order Horn Sentences from Entailment
ALT '97 Proceedings of the 8th International Conference on Algorithmic Learning Theory
Learning First-Order Acyclic Horn Programs from Entailment
ILP '98 Proceedings of the 8th International Workshop on Inductive Logic Programming
Learnability Results for Elementary Formal Systems: EFS and Prolog programs
Learnability Results for Elementary Formal Systems: EFS and Prolog programs
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In this paper we study exact learning of Prolog programs from entailment and present an algorithm to learn two rich classes of Prolog programs namely hereditary and reductive Prolog programs. These classes contain standard Prolog programs with and without recursion like append, merge, split, delete, member, prefix, suffix, length, add, etc. Additionally our algorithm learns the hereditary Prolog programs in polynomial time.