Classification Problem Solving
Abstract
A broad range of heuristic programs--embracing forms of diagnosis, catalog selection, and skeletal planning--accomplish a kind of well-structured problem solving called classification. These programs have a characteristic interference structure that systematically relates data to a preenumerated set of solutions by abstraction, heuristic association, and refinement. This level of description specifies the knowledge needed to solve a problem, independent of its representation in a particular computer language. The classification problem-solving model provides a useful framework for recognizing and representing similar problems, for designing representation tools, and for understanding the problem-solving methods used by non-classification programs.
Cite
Text
Clancey. "Classification Problem Solving." AAAI Conference on Artificial Intelligence, 1984.Markdown
[Clancey. "Classification Problem Solving." AAAI Conference on Artificial Intelligence, 1984.](https://mlanthology.org/aaai/1984/clancey1984aaai-classification/)BibTeX
@inproceedings{clancey1984aaai-classification,
title = {{Classification Problem Solving}},
author = {Clancey, William J.},
booktitle = {AAAI Conference on Artificial Intelligence},
year = {1984},
pages = {49-55},
url = {https://mlanthology.org/aaai/1984/clancey1984aaai-classification/}
}