Learning Procedures from Interactive Natural Language Instructions
Abstract
Despite its ubiquity in human learning, very little work has been done in artificial intelligence on agents that learn from interactive natural language instructions. In this paper, we examine the problem of learning procedures from interactive, situated instruction, in which the student is attempting to perform tasks within the instructional domain, and asks for instruction when it is needed. We present Instructo-Soar, a system that behaves and learns in response to interactive natural language instructions. Instructo- Soar learns completely new procedures from sequences of instruction, and also learns how to extend its knowledge of previously known procedures to new situations. These learning tasks require both inductive and analytic learning. Instructo-Soar exhibits a multiple execution learning process in which initial learning has a rote, episodic flavor, and later executions allow the initially learned knowledge to be generalized properly.
Cite
Text
Huffman and Laird. "Learning Procedures from Interactive Natural Language Instructions." International Conference on Machine Learning, 1993. doi:10.1016/B978-1-55860-307-3.50025-3Markdown
[Huffman and Laird. "Learning Procedures from Interactive Natural Language Instructions." International Conference on Machine Learning, 1993.](https://mlanthology.org/icml/1993/huffman1993icml-learning/) doi:10.1016/B978-1-55860-307-3.50025-3BibTeX
@inproceedings{huffman1993icml-learning,
title = {{Learning Procedures from Interactive Natural Language Instructions}},
author = {Huffman, Scott B. and Laird, John E.},
booktitle = {International Conference on Machine Learning},
year = {1993},
pages = {143-150},
doi = {10.1016/B978-1-55860-307-3.50025-3},
url = {https://mlanthology.org/icml/1993/huffman1993icml-learning/}
}