Approaches to Knowledge Acquisition: The Instructable Production System Project
Abstract
Progress in building systems that acquire knowledge from a variety of sources depends on determining certain functional requirements and ways for them to be met. Experiments have been performed with learning systems having a variety of functional components. The results of these experiments have brought to light deficiencies of various sorts, in systems with various degrees of effectiveness. The components considered here are: interaction language; organization of procedural elements; explanation of system behavior; accommodation to new knowledge; connection of goals with system capabilities; reformulation (mapping) of knowledge; evaluation of behavior; and compilation to achieve efficiency and automaticity. A number of approaches to knowledge acquisition tried within the Instructable Production System (IPS) Project are sketched.
Cite
Text
Rychener. "Approaches to Knowledge Acquisition: The Instructable Production System Project." AAAI Conference on Artificial Intelligence, 1980.Markdown
[Rychener. "Approaches to Knowledge Acquisition: The Instructable Production System Project." AAAI Conference on Artificial Intelligence, 1980.](https://mlanthology.org/aaai/1980/rychener1980aaai-approaches/)BibTeX
@inproceedings{rychener1980aaai-approaches,
title = {{Approaches to Knowledge Acquisition: The Instructable Production System Project}},
author = {Rychener, Michael D.},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {1980},
pages = {228-230},
url = {https://mlanthology.org/aaai/1980/rychener1980aaai-approaches/}
}