Towards an Integrated Discovery System
Proceedings of the Tenth International Joint Conference on Artificial Intelligence. Knowledge Acquisition. Pages 198-199.
Abstract
Previous research on machine discovery has focused on limited parts of the empirical discovery task. In this paper we describe IDS, an integrated system that addresses both qualitative and quantitative discovery. The program represents its knowledge in terms of qualitative &chema&, which it discovers by interacting with a simulated physical environment. Once IDS has formulated a qualitative schema, it uses that schema to design experiments and to constrain the search for quantitative laws. We have carried out preliminary tests in the domain of heat phenomena. In this context the system has discovered both intrinsic properties, such as the melting point of substances, and numeric laws, such as the conservation of mass for objects going through a phase change.
@inproceedings{ijcai1987p38,
title = {Towards an Integrated Discovery System},
author = {Nordhausen, Bernd and Langley, Pat},
booktitle = {Proceedings of the Tenth International Joint Conference on
Artificial Intelligence, {IJCAI-87}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {John McDermott},
pages = {198--199},
year = {1987},
note = {Knowledge Acquisition},
url = {https://ijcai.org/proceedings/1987/38},
}
TY - CPAPER TI - Towards an Integrated Discovery System AU - Nordhausen, Bernd AU - Langley, Pat T2 - Proceedings of the Tenth International Joint Conference on Artificial Intelligence, IJCAI-87 PB - International Joint Conferences on Artificial Intelligence PY - 1987 SP - 198 EP - 199 UR - https://ijcai.org/proceedings/1987/38 ER -Copied
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