On "learning term rewriting systems from entailment"

(2003) On "learning term rewriting systems from entailment". Computer Systems and Applications, 2003. Book of Abstracts. ACS/IEEE International conference, 1.

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Abstract

Summary form only given. We study exact learning of term rewriting systems from entailment and refute a recent result by Arimura, Sakamoto and Arikawa about polynomial time learnability of k-variable linear tree translations (LTT (k)). It was incorrectly claimed that the length of derivations of LTT (k) is bounded by a polynomial in the size of the initial term. This claim led to their result on polynomial time learnability of LTT (k). We present a simple system in the class of 1-variable linear tree translations that has a derivation of exponential length. We also discuss why it is difficult to syntactically separate the rewriting systems defining polynomial functions and the rewriting systems defining exponential functions. We then identify a few requirements for polynomial time learnability of rewriting systems and discuss how these requirements may be achieved.

Item Type: Article
Subjects: Computer
Department: College of Computing and Mathematics > Information and Computer Science
Depositing User: Mr. Admin Admin
Date Deposited: 24 Jun 2008 13:27
Last Modified: 01 Nov 2019 14:04
URI: https://eprints.kfupm.edu.sa/id/eprint/14218