The Role of Experimentation in Scientific Theory Revision
Abstract
In this research, we produce a program KEKADA capable of carrying out intelligent experimental programs on problems similar to those faced by a number of experimental scientists. KEKADA has a set of experimentation strategies, that were detected from the traces of the behaviors of scientists. KEKADA strategies include : focusing on a surprising phenomenon, characterizing the surprising phenomenon by general strategies such as magnification, applying divide-and-conquer, determining the scope of phenomenon, factor-analysis, relating to similar phenomena, and domain-specific strategies and hypotheses. The domain-specific heuristics in KEKADA are efficient and practical instantiations of general strategies such as - controlled experimentation, determination of complexity of a process, testing of a causal chain, componential analysis, differencing and divide-and-conquer.
Cite
Text
Kulkarni and Simon. "The Role of Experimentation in Scientific Theory Revision." International Conference on Machine Learning, 1989. doi:10.1016/B978-1-55860-036-2.50077-1Markdown
[Kulkarni and Simon. "The Role of Experimentation in Scientific Theory Revision." International Conference on Machine Learning, 1989.](https://mlanthology.org/icml/1989/kulkarni1989icml-role/) doi:10.1016/B978-1-55860-036-2.50077-1BibTeX
@inproceedings{kulkarni1989icml-role,
title = {{The Role of Experimentation in Scientific Theory Revision}},
author = {Kulkarni, Deepak and Simon, Herbert A.},
booktitle = {International Conference on Machine Learning},
year = {1989},
pages = {278-283},
doi = {10.1016/B978-1-55860-036-2.50077-1},
url = {https://mlanthology.org/icml/1989/kulkarni1989icml-role/}
}