Learning to Retrieve Useful Information for Problem Solving
Abstract
We have developed a theory of memory and retrieval in problem solving that we call Eureka. We intend this theory to account for a number of characteristics of human problem solving. An additional concern of our research is that it aid in the design of computerized problem-solving systems. We feel that a good method for creating intelligent systems is to use explanations of intelligent human behavior to guide our efforts. In this respect, Eureka provides a contribution in terms of increasing the flexibility and efficiency of problem-solving systems.
Cite
Text
Jones. "Learning to Retrieve Useful Information for Problem Solving." International Conference on Machine Learning, 1989. doi:10.1016/B978-1-55860-036-2.50060-6Markdown
[Jones. "Learning to Retrieve Useful Information for Problem Solving." International Conference on Machine Learning, 1989.](https://mlanthology.org/icml/1989/jones1989icml-learning/) doi:10.1016/B978-1-55860-036-2.50060-6BibTeX
@inproceedings{jones1989icml-learning,
title = {{Learning to Retrieve Useful Information for Problem Solving}},
author = {Jones, Randolph M.},
booktitle = {International Conference on Machine Learning},
year = {1989},
pages = {212-214},
doi = {10.1016/B978-1-55860-036-2.50060-6},
url = {https://mlanthology.org/icml/1989/jones1989icml-learning/}
}