Formal Theories of Language Acquisition: Practical and Theoretical Perspectives
Proceedings of the Eighth International Joint Conference on Artificial Intelligence. Natural Language. Pages 566-571.
Abstract
Learning Theory is the study of systems that impl eme nt functions from e vidential sta t es to theories. The theoretical framework de veloped in the th e ory makes po ss ibl e t he comparison of c la sses of algorithms whi c h embody distinct l ea l'n ing s trat eg i es along a variety of dimensions. S uch comparisons yield v aluab le information to tho se concerned with in f e r e nce problems in Cogniti ve Sc it!nce a nd Artifi c ial Intelligence. Th e present pa p er employs the fr amework of Learning Theory to s tudy the design spec ifica t ions of inductive systems which are of interest in the domain of l a ng ua g e acquisition .
@inproceedings{ijcai1983p135,
title = {Formal Theories of Language Acquisition: Practical and Theoretical Perspectives},
author = {Osherson, Daniel N. and Stob, Michael and Weinstein, Scott},
booktitle = {Proceedings of the Eighth International Joint Conference on
Artificial Intelligence, {IJCAI-83}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Alan Bundy},
pages = {566--571},
year = {1983},
note = {Natural Language},
url = {https://ijcai.org/proceedings/1983/135},
}
TY - CPAPER TI - Formal Theories of Language Acquisition: Practical and Theoretical Perspectives AU - Osherson, Daniel N. AU - Stob, Michael AU - Weinstein, Scott T2 - Proceedings of the Eighth International Joint Conference on Artificial Intelligence, IJCAI-83 PB - International Joint Conferences on Artificial Intelligence PY - 1983 SP - 566 EP - 571 UR - https://ijcai.org/proceedings/1983/135 ER -Copied
Machine-readable versions of this paper, for tools and AI agents:
